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      <text:p text:style-name="P2"><text:span text:style-name="T1">*Corresponding author: mcalsin@unap.edu.pe <text:s text:c="2"/></text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T6">Rev. Fac. Agron. (LUZ). 2025, 42(3): e254241 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T6">de Ciencias Agrarias, Universidad Nacional del Altiplano de </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T6">Received: 15-05-2025</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T6">Published: 04-09-2025</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T2">Abstract</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Currently, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sausage </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">consumption </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">has </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">been </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">linked </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">health </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">problems due to its high fatty acid and cholesterol content, forcing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.896cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="15.258cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the use of low-fat meats, natural antioxidants, extenders, and new </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.396cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="15.681cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">processing <text:s/>technologies <text:s/>to <text:s/>maintain <text:s/>its <text:s/>nutritional <text:s/>properties <text:s/>and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">reduce oxidation. The objective of this study was to evaluate the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">effect of red quinoa as an extender on the antioxidant capacity and </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">lipid <text:s/>oxidation <text:s/>in <text:s/>alpaca <text:s/>sausages <text:s/>cooked <text:s/>sous <text:s/>vide <text:s/>at <text:s/>different </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">temperatures. For the study, alpaca sausages were made by mixing </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ground <text:s/>alpaca <text:s/>meat, <text:s/>salt, <text:s/>animal <text:s/>fat, <text:s/>and <text:s/>extenders <text:s/>(raw <text:s/>quinoa, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.9cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="18.221cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">quinoa flour, cooked quinoa, and corn starch). The mixtures were </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cooked sous vide at 60 °C and 80 °C, and stored at 50 °C for 12 days, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">taking samples on days 1, 7, and 12, to determine the antioxidant </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">capacity <text:s/>(ABTS <text:s/>method), <text:s/>lipid <text:s/>oxidation <text:s/>(TBARS <text:s/>method), <text:s/>pH, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.867cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="19.914cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">color, and texture. The results indicated that the highest values of </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">antioxidant capacity were obtained in alpaca sausages with quinoa </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">flour, causing a lower degree of lipid oxidation, indicated by the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">low TBARS value, in addition to the greater stability in the values </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of pH, luminosity (L*), redness (a*) and lower discoloration (b*), </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.015cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="22.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">which can be attributed to the phenolic antioxidants of red quinoa. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.083cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="22.454cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">In conclusion, the use of red quinoa is an alternative because it can </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">not <text:s/>only <text:s/>be <text:s/>used <text:s/>as <text:s/>an <text:s/>extender <text:s/>in <text:s/>sausage <text:s/>production, <text:s/>but <text:s/>also </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="23.3cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">because <text:s/>it <text:s/>inhibits <text:s/>lipid <text:s/>oxidation <text:s/>and <text:s/>improves <text:s/>the <text:s/>antioxidant </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.067cm" svg:height="0.369cm" svg:x="11.375cm" svg:y="23.724cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">activity of the product.</text:span></text:p>
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   </draw:page>
   <draw:page draw:name="page2" draw:style-name="dp2" draw:master-page-name="master-page42">
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      <text:p text:style-name="P2"><text:span text:style-name="T7">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s/></text:span></text:p>
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    <draw:frame draw:style-name="gr9" draw:text-style-name="P9" draw:layer="layout" svg:width="12.19cm" svg:height="0.39cm" svg:x="1.945cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s text:c="2"/></text:span><text:span text:style-name="T8">Rev. Fac. Agron. (LUZ). 2025, 42(3): e254241 July-September. ISSN 2477-9409.</text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">2-6 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">|</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T2">Resumen </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Actualmente, <text:s/>el <text:s/>consumo <text:s/>de <text:s/>salchichas <text:s/>se <text:s/>ha <text:s/>relacionado <text:s/>con </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.934cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="2.4cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">problemas de salud, debido a su alto contenido de ácidos grasos y </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">colesterol, obligando al uso de carnes con bajo contenido de grasa, uso </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.379cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.211cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">de antioxidantes naturales, extensores, además de nuevas tecnologías </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.413cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.617cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">de <text:s/>procesamiento, <text:s/>para <text:s/>mantener <text:s/>sus <text:s/>propiedades <text:s/>nutricionales <text:s/>y </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.4cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.023cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">disminuir su oxidación. El objeto de este trabajo fue evaluar el efecto </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.96cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.429cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">de la quinua roja como extensor sobre la capacidad antioxidante y </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.535cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.835cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">la <text:s/>oxidación <text:s/>lipídica <text:s/>en <text:s/>salchichas <text:s/>de <text:s/>alpaca <text:s/>cocidas <text:s/>a <text:s/>diferentes </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.404cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.241cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">temperaturas por Sous Vide. Para el estudio, se elaboraron salchichas </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.646cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.646cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de <text:s/>alpaca, <text:s/>mezclando <text:s/>carne <text:s/>molida <text:s/>de <text:s/>alpaca, <text:s/>sal, <text:s/>grasa <text:s/>animal <text:s/>y </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.349cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.052cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">extensores (quinua cruda, harina de quinua, quinua cocida y almidón </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.472cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.458cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">de maíz). Las mezclas fueron cocidas en Sous Vide a 60 y 80 °C, y se </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.358cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.864cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">almacenaron a 50 °C durante 12 días, tomando muestras los días 1, 7 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.26cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.27cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">y 12, para la determinación de la capacidad antioxidante (método de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.239cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.676cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ABTS), la oxidación lipídica (método TBARS), pH, color y textura. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.633cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.082cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Los <text:s/>resultados <text:s/>indicaron <text:s/>que <text:s/>los <text:s/>mayores <text:s/>valores <text:s/>de <text:s/>la <text:s/>capacidad </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.582cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.487cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">antioxidante <text:s/>se <text:s/>obtuvieron <text:s/>en <text:s/>las <text:s/>salchichas <text:s/>de <text:s/>alpaca <text:s/>con <text:s/>harina </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.197cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="8.893cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de quinua, provocando menor grado de oxidación lipídica, indicado </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.713cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.299cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">por <text:s/>el <text:s/>bajo <text:s/>valor <text:s/>de TBARS, <text:s/>además, <text:s/>por <text:s/>la <text:s/>mayor <text:s/>estabilidad <text:s/>en </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.701cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.705cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">los <text:s/>valores <text:s/>de <text:s/>pH, <text:s/>luminosidad <text:s/>(L*), <text:s/>enrojecimiento <text:s/>(a*) <text:s/>y <text:s/>menor </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.15cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.111cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">decoloración (b*), pudiendo atribuirse a los antioxidantes fenólicos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.438cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.517cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de <text:s/>la <text:s/>quinua <text:s/>roja. <text:s/>En <text:s/>conclusión, <text:s/>el <text:s/>uso <text:s/>de <text:s/>quinua <text:s/>roja, <text:s/>es <text:s/>una </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.066cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.923cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">alternativa porque, no solo puede ser un extensor en la elaboración </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.057cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.328cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de salchichas, sino porque, inhibe la oxidación lipídica y mejora la </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.93cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="11.734cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">actividad antioxidante del producto. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.608cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.558cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Palabras clave: </text:span><text:span text:style-name="T3">salchicha de alpaca, extensor, capacidad antioxidante, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.331cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.981cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">oxidación</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="1.458cm" svg:height="0.471cm" svg:x="1.2cm" svg:y="13.722cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Resumo</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.733cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Atualmente, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="3.558cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">o </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.302cm" svg:height="0.369cm" svg:x="3.936cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">consumo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="5.356cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.28cm" svg:height="0.369cm" svg:x="5.883cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">salsichas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.586cm" svg:height="0.369cm" svg:x="7.284cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">tem </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.65cm" svg:height="0.369cm" svg:x="7.997cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sido </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.395cm" svg:height="0.369cm" svg:x="8.766cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">associado </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="10.279cm" svg:y="14.624cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.484cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">problemas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="2.795cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.853cm" svg:height="0.369cm" svg:x="3.31cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">saúde </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.005cm" svg:height="0.369cm" svg:x="4.272cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">devido </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="5.383cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ao </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.535cm" svg:height="0.369cm" svg:x="5.898cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">seu </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.59cm" svg:height="0.369cm" svg:x="6.543cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">alto </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.607cm" svg:height="0.369cm" svg:x="7.245cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">teor </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="7.965cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.946cm" svg:height="0.369cm" svg:x="8.48cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ácidos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.984cm" svg:height="0.369cm" svg:x="9.535cm" svg:y="15.047cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">graxos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.18cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.47cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">e <text:s/>colesterol, <text:s/>necessitando <text:s/>do <text:s/>uso <text:s/>de <text:s/>carnes <text:s/>com <text:s/>baixo <text:s/>teor <text:s/>de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.548cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.894cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">gordura, <text:s/>antioxidantes <text:s/>naturais, <text:s/>extensores <text:s/>e <text:s/>novas <text:s/>tecnologias <text:s/>de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.176cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.317cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">processamento para manter suas propriedades nutricionais e reduzir </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.764cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.74cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a <text:s/>oxidação. <text:s/>O <text:s/>objetivo <text:s/>deste <text:s/>estudo <text:s/>foi <text:s/>avaliar <text:s/>o <text:s/>efeito <text:s/>da <text:s/>quinoa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.235cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.163cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">vermelha <text:s/>como <text:s/>extensor <text:s/>na <text:s/>capacidade <text:s/>antioxidante <text:s/>e <text:s/>oxidação </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.006cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.587cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">lipídica em salsichas de alpaca cozidas em diferentes temperaturas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.616cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.01cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">usando <text:s/>sous <text:s/>vide. <text:s/>Para <text:s/>o <text:s/>estudo, <text:s/>salsichas <text:s/>de <text:s/>alpaca <text:s/>foram <text:s/>feitas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.159cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.433cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">misturando carne de alpaca moída, sal, gordura animal e extensores </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.968cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.857cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(quinoa crua, farinha de quinoa, quinoa cozida e amido de milho). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.294cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.28cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">As misturas foram cozidas em sous vide a 60 e 80 °C e armazenadas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.798cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.703cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a <text:s/>50 <text:s/>°C <text:s/>por <text:s/>12 <text:s/>dias, <text:s/>coletando <text:s/>amostras <text:s/>nos <text:s/>dias <text:s/>1, <text:s/>7 <text:s/>e <text:s/>12, <text:s/>para </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.235cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.126cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">determinar <text:s/>a <text:s/>capacidade <text:s/>antioxidante <text:s/>(método <text:s/>ABTS), <text:s/>oxidação </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.408cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.55cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">lipídica (método TBARS), pH, cor e textura. Os resultados indicaram </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.519cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.973cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">que <text:s/>os <text:s/>maiores <text:s/>valores <text:s/>de <text:s/>capacidade <text:s/>antioxidante <text:s/>foram <text:s/>obtidos </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.358cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.396cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">em <text:s/>linguiças <text:s/>de <text:s/>alpaca <text:s/>com <text:s/>farinha <text:s/>de <text:s/>quinoa, <text:s/>causando <text:s/>menor </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.493cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.82cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">grau <text:s/>de <text:s/>oxidação <text:s/>lipídica, <text:s/>indicado <text:s/>pelo <text:s/>baixo <text:s/>valor <text:s/>de <text:s/>TBARS, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.701cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.243cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">além <text:s/>de <text:s/>maior <text:s/>estabilidade <text:s/>nos <text:s/>valores <text:s/>de <text:s/>pH, <text:s/>luminosidade <text:s/>(L*), </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.464cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.666cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">vermelhidão (a*) e menor descoloração (b*), o que pode ser atribuído </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.205cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.089cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">aos <text:s/>antioxidantes <text:s/>fenólicos <text:s/>da <text:s/>quinoa <text:s/>vermelha. <text:s/>Em <text:s/>conclusão, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.926cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.513cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">o uso da quinoa vermelha é uma alternativa, pois, não só pode ser </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.057cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.936cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">um extensor na produção de linguiças, mas também porque inibe a </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.663cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.359cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">oxidação lipídica e melhora a atividade antioxidante do produto.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.381cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Palavras-chave:</text:span><text:span text:style-name="T3"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.149cm" svg:height="0.369cm" svg:x="3.875cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">salsicha </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.404cm" svg:height="0.369cm" svg:x="5.322cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">de </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.026cm" svg:height="0.369cm" svg:x="6.024cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">alpaca, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.31cm" svg:height="0.369cm" svg:x="7.349cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">extensor, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.577cm" svg:height="0.369cm" svg:x="8.94cm" svg:y="25.183cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">capacidade </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.135cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="25.606cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">antioxidante, oxidação.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="2.309cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="1.11cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Introduction</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.714cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="2.011cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">There is <text:s/>a growing <text:s/>trend toward <text:s/>shifting from a meat-centered </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.435cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">diet to a plant-based diet, improving the impacts on the environment </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.956cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="2.858cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and public health (Lang, 2020). In response to this, new strategies </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.269cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.281cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">are being introduced, one of which is related to the use of functional </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.514cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="3.705cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ingredients, such as meat extenders (Rocchetti </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2023), which are </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.044cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">non-meat substances with high protein content that can modify the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.425cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.551cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">water-holding capacity, texture, palatability, and appearance (Pintado </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.447cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="4.974cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and Delgado-Pando, 2020). The use of extender ingredients improves </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.485cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="5.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the nutritional profile of meat products, enhancing protein quality and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.286cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="5.821cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">also changing the protein or creating new possibilities for increasing </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.298cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.244cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">shelf life and diversity of functional properties (Owusu-Ansah </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.874cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="6.668cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">2022).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.15cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="7.091cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Sausages <text:s/>are <text:s/>widely <text:s/>consumed <text:s/>meat <text:s/>products, <text:s/>valued <text:s/>for <text:s/>their </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.726cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.514cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">protein <text:s/>and <text:s/>fat <text:s/>content <text:s/>(Huang </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2025). These <text:s/>are <text:s/>made <text:s/>with </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.307cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="7.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ground <text:s/>meat, <text:s/>along <text:s/>with <text:s/>various <text:s/>ingredients, <text:s/>including <text:s/>fat, <text:s/>salt, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.421cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.361cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">spices, <text:s/>stabilizers, <text:s/>antioxidants, <text:s/>flavorings, <text:s/>and <text:s/>extenders, <text:s/>stuffed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.581cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.784cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">into <text:s/>a <text:s/>casing <text:s/>(Nyaguthii </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al.</text:span><text:span text:style-name="T3">, <text:s/>2023). <text:s/>However, <text:s/>there <text:s/>is <text:s/>concern </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.379cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.207cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">about <text:s/>excessive <text:s/>sodium <text:s/>intake <text:s/>(Adeyemi </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2025), <text:s/>chemical </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.582cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="9.63cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">preservatives <text:s/>(Zeraat <text:s/>Pisheh </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2025), <text:s/>and <text:s/>fat <text:s/>and <text:s/>cholesterol </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.48cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.054cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">levels, which have led to several studies seeking to ensure that animal </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.426cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.477cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fat <text:s/>meets <text:s/>the <text:s/>characteristics <text:s/>required <text:s/>for <text:s/>health <text:s/>(Monteiro </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.726cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.9cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">2017). According <text:s/>to <text:s text:c="3"/>Cruz-Tirado </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">. <text:s/>(2024), <text:s/>alpaca <text:s/>meat <text:s/>could </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.823cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.324cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">be <text:s/>an <text:s/>alternative, <text:s/>due <text:s/>to <text:s/>its <text:s/>protein <text:s/>content <text:s/>(22 <text:s/>– <text:s/>24 <text:s/>%) <text:s/>which <text:s/>is </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.396cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">comparable to the meat of other animals such as lamb (19–20 %) and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.62cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.17cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">beef (21.7 – 21.9 %) additionally, it has low levels of intramuscular fat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.332cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.593cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(&lt;1 %) and lipid oxidation (&lt;2.44 mg MDA.kg-1 of meat) compared </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.58cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.017cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">to other species of red meat (Smith </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2019). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.011cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="13.44cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">On the other hand, cereals have been used as extenders to increase </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.828cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">water </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.574cm" svg:height="0.369cm" svg:x="12.072cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.438cm" svg:height="0.369cm" svg:x="12.745cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">fat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.12cm" svg:height="0.369cm" svg:x="13.288cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">holding </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.349cm" svg:height="0.369cm" svg:x="14.488cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.348cm" svg:height="0.369cm" svg:x="14.942cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sausages, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.488cm" svg:height="0.369cm" svg:x="16.367cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">improving </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.701cm" svg:height="0.369cm" svg:x="17.933cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">their </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.776cm" svg:height="0.369cm" svg:x="18.73cm" svg:y="13.863cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">performance </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.552cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.287cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Muchekeza </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2021). An alternative is quinoa, not only because it </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.616cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="14.71cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">is rich in protein, but also because it is an important source of phenolic </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.667cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.133cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">acids and flavonoids that contribute to its functional properties, such as </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.862cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.556cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">antioxidant, <text:s/>anti-inflammatory, <text:s/>antimicrobial, <text:s/>and <text:s/>anti-cancer <text:s/>(Ma </text:span><text:span text:style-name="T10"><text:s/>et </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.713cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="15.98cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">al</text:span><text:span text:style-name="T3">., 2023). Consequently, the objective of this study was to evaluate the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.396cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.403cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">effect of red quinoa as an extender (raw quinoa, quinoa flour, cooked </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.43cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="16.826cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">quinoa) compared to corn starch on the antioxidant capacity and lipid </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.693cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.25cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">oxidation of alpaca sausages cooked sous vide at 60 and 80 °C. <text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="4.163cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="17.996cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Materials and methods</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.711cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="18.898cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Quinoa and alpaca</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.655cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="19.321cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The red quinoa grains were acquired from the National Institute </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.138cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.745cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of Agrarian Innovation-Puno. The alpaca meat was purchased from </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.976cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="20.168cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the supply center of the city of Puno.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.537cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="20.591cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Processing of red quinoa</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.575cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="21.014cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The red quinoa grains were mechanically processed. First, they </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.027cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.438cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">were washed ten times with distilled water to remove the shell and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.789cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.861cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">dried <text:s/>at <text:s/>55 <text:s/>°C <text:s/>for <text:s/>8 <text:s/>hours, <text:s/>obtaining <text:s/>raw <text:s/>quinoa <text:s/>(RQ). <text:s/>Then, <text:s/>the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.438cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.284cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">grinding and cooking processes were carried out. The dry quinoa was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.392cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.708cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ground (FRITSCH model PULVERISSETE 14, Germany) into flour, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.163cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.131cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">then sifted using a 200 μm sieve and stored at 4 °C until use, which </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.734cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.555cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was <text:s/>called <text:s/>quinoa <text:s/>flour <text:s/>(QF). <text:s/>For <text:s/>pressure <text:s/>cooking, <text:s/>100 <text:s/>g <text:s/>of <text:s/>dry </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.248cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.978cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">quinoa with 30 mL of distilled water was placed in a beaker, stirred, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.332cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.401cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and left to rest for 2 hours. Then, cooking was carried out for 20 min </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.37cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.824cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">in an autoclave (GREETMED model LS-B50L-II, China) at 0.1 MPa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.548cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="25.248cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and 120 °C, passed through a sieve, and stored at 4°C until use, which </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="4.324cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="25.671cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was called cooked quinoa (CQ).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
   </draw:page>
   <draw:page draw:name="page3" draw:style-name="dp2" draw:master-page-name="master-page55">
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="13.786cm" svg:height="0.276cm" svg:x="3.864cm" svg:y="26.653cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T7">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr9" draw:text-style-name="P9" draw:layer="layout" svg:width="10.238cm" svg:height="0.39cm" svg:x="9.867cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s/></text:span><text:span text:style-name="T8">Calsin-Cutimbo </text:span><text:span text:style-name="T11">et al.</text:span><text:span text:style-name="T8"> Rev. Fac. Agron. (LUZ). 2025, 42(3): e254241</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.535cm" svg:height="0.369cm" svg:x="1.155cm" svg:y="0.49cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">3-6 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr9" draw:text-style-name="P9" draw:layer="layout" svg:width="0.352cm" svg:height="0.39cm" svg:x="1.686cm" svg:y="0.475cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T8">|</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.82cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="1.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Production of alpaca sausages with red quinoa as an extender</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.163cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="1.552cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">For <text:s/>the <text:s/>production <text:s/>of <text:s/>alpaca <text:s/>sausages, <text:s/>the <text:s/>procedure <text:s/>proposed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.04cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="1.975cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">by Muchekeza </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2021) was followed; the alpaca meat was cut </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.129cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="2.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">into pieces (50 mm × 50 mm × 50 mm) and taken to a meat grinder </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.307cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="2.821cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(IMACO model FP7581, China), with the addition of 2 % salt, 10 % </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.629cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.245cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">animal pork fat, 5 % cold water, and 3 % extender (raw quinoa, quinoa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="3.668cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">flour, cooked quinoa, and corn starch). Portions of 30 to 38 g of this </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.591cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.091cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">mixture <text:s/>were <text:s/>stuffed <text:s/>into <text:s/>casings <text:s/>to <text:s/>produce <text:s/>sausages; <text:s/>they <text:s/>were </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.239cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.515cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">packed in poly bags using a vacuum packer (HENKELMAN Jumbo </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.171cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="4.938cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">42 I model, Holland) programmed for 20 seconds. The mixture was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.138cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.361cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">stuffed into casings of 30 to 38 g of each sausage, packed in plastic </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="5.784cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">bags, then cooked sous vide (OLISO model IH95A, China) at 60 °C </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.074cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.208cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and 80 °C for 30 minutes and cooled to 15 °C. The processing was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.523cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="6.631cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">repeated three times with each formulation. For the study, the samples </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.138cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.054cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">were stored in a convection oven at 50 °C for 12 days, and samples </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.43cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.478cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">were taken at 1, 7, and 12 days; each of them was refrigerated at 4 °C </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.873cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="7.901cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">until analysis.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.827cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="8.324cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Cooking loss</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.053cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="8.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The cooking weight losses of the alpaca sausages were determined </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.934cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.171cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">according to what was indicated by Choe </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2013), with some </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.506cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="9.594cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">modifications. Alpaca sausage samples were weighed before and after </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.322cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="10.017cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cooking to calculate cooking losses as follows:</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.455cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="11.711cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Determination of antioxidant capacity</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.459cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">To </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.424cm" svg:height="0.369cm" svg:x="2.263cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">determine </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="3.818cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.602cm" svg:height="0.369cm" svg:x="4.441cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">antioxidant </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.289cm" svg:height="0.369cm" svg:x="6.163cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">capacity, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="7.556cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.857cm" svg:height="0.369cm" svg:x="8.161cm" svg:y="12.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">ABTS</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.209cm" svg:height="0.217cm" svg:x="9.018cm" svg:y="12.148cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T12">+2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="9.225cm" svg:y="12.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.094cm" svg:height="0.369cm" svg:x="9.44cm" svg:y="12.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">method </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.722cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.558cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">proposed <text:s/>by <text:s/>Re </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al.</text:span><text:span text:style-name="T3"> <text:s/>(1999) <text:s/>was <text:s/>used</text:span><text:span text:style-name="T10">.</text:span><text:span text:style-name="T3"> <text:s/>To <text:s/>obtain <text:s/>the <text:s/>methanolic </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.942cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="12.992cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">extract, <text:s/>1 <text:s/>g <text:s/>of <text:s/>the <text:s/>sample <text:s/>and <text:s/>25 <text:s/>mL <text:s/>of <text:s/>80 <text:s/>% <text:s/>v/v <text:s/>methanol <text:s/>were </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.535cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="13.426cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">stirred for 5 min, then the mixture was left to rest for 24 hours at 4 °C, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.48cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="13.86cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">centrifuged at 2000 rpm for 10 min, and the resulting supernatant was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.176cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="14.294cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">used for the quantification of antioxidant capacity. The results were </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.577cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="14.728cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">expressed as μmol equivalent of Trolox.g</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr12" draw:text-style-name="P12" draw:layer="layout" svg:width="0.194cm" svg:height="0.217cm" svg:x="6.741cm" svg:y="14.741cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T12">-1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.334cm" svg:height="0.369cm" svg:x="6.904cm" svg:y="14.728cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.583cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="15.162cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Determination of the content of thiobarbituric acid reactive </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="2.953cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="15.596cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">substances (TBARS)</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.433cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Oxidation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.607cm" svg:height="0.369cm" svg:x="3.322cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.374cm" svg:height="0.369cm" svg:x="4.124cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">evaluated </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.425cm" svg:height="0.369cm" svg:x="5.69cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">by </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.708cm" svg:height="0.369cm" svg:x="6.306cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">determining </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.497cm" svg:height="0.369cm" svg:x="8.207cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.077cm" svg:height="0.369cm" svg:x="8.898cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">content </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.366cm" svg:height="0.369cm" svg:x="10.166cm" svg:y="16.03cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.311cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.464cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">thiobarbituric <text:s/>acid <text:s/>reactive <text:s/>substances <text:s/>(TBARS) <text:s/>as <text:s/>proposed <text:s/>by </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.128cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="16.898cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Rosmini </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (1996) with some modifications. Five grams (5 g) of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.502cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.332cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sausage samples were mixed with 25 mL of 15 % trichloroacetic acid, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.535cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="17.766cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">then the samples were homogenized for 1 min in a blender and left for </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.324cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.189cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">15 min at -10 °C in a freezer to improve precipitation. Subsequently, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.116cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="18.613cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the samples were filtered, and 5 mL was taken to mix with 5 mL of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.413cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.036cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">thiobarbituric acid 0.02 M. <text:s/>Subsequently, the samples were mixed at </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.125cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.459cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">1200 rpm for 20 s and incubated for 35 min in a boiling bath. After </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.535cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="19.882cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cooling, the samples were measured at 532 nm in a spectrophotometer </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.231cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.306cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(GENESYS <text:s/>20 <text:s/>model <text:s/>4001/4, <text:s/>USA). <text:s/>The <text:s/>TBARS <text:s/>content <text:s/>was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.452cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="20.729cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">expressed in mg of malondialdehyde (MDA) per kg of sample.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="3.16cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="21.152cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">pH, color, and texture</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.011cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="21.576cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The pH values were determined using a pH meter (MILWAUKEE </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.226cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.999cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">model <text:s/>MI150, <text:s/>Romania) <text:s/>at <text:s/>room <text:s/>temperature, <text:s/>according <text:s/>to <text:s/>the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="5.466cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.422cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">method proposed by Wang </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2018).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.511cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="22.845cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The internal color of all cooked samples was determined using </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">a <text:s/>colorimeter <text:s/>(SADT <text:s/>model <text:s/>SC20, <text:s/>China) <text:s/>calibrated <text:s/>with <text:s/>a <text:s/>white </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">background. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">values </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">L* </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">(luminosity), </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">a* </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">(redness), </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">b* </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(discoloration) were recorded, following the procedure proposed by </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Kasaiyan </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2023). </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>texture <text:s/>of <text:s/>alpaca <text:s/>sausages <text:s/>was <text:s/>determined <text:s/>using <text:s/>a <text:s/>texture </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">analyzer </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Brookfield </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">CT3-4500, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">USA), </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">following </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">procedure </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">proposed by Li </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2023) with some modifications. </text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Experimental design and statistical analysis</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">A <text:s/>completely <text:s/>randomized <text:s/>design <text:s/>was <text:s/>performed, <text:s/>with <text:s/>eight </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">treatments (table 1) and three replications per treatment, for a total of </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">24 experimental units. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Table <text:s/>1. <text:s/>Treatments <text:s/>with <text:s/>red <text:s/>quinoa <text:s/>and <text:s/>sous <text:s/>vide <text:s/>cooking </text:span></text:p>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <text:p/>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">temperature in alpaca sausages.</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.407cm" svg:height="0.314cm" svg:x="11.371cm" svg:y="4.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">Treatments</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">Extender</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.833cm" svg:height="0.314cm" svg:x="16.369cm" svg:y="4.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">Sous vide cooking temperature </text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="4.607cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T1</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="4.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T2</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="5.257cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="5.581cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="5.906cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T5</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="6.23cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="6.555cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T7</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.336cm" svg:height="0.314cm" svg:x="11.891cm" svg:y="6.879cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T13">T8</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.378cm" svg:height="0.314cm" svg:x="13.839cm" svg:y="4.612cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Raw quinoa</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.378cm" svg:height="0.314cm" svg:x="13.839cm" svg:y="4.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Raw quinoa</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.471cm" svg:height="0.314cm" svg:x="13.8cm" svg:y="5.261cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Quinoa flour</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Quinoa flour</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Cooked quinoa</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.75cm" svg:height="0.314cm" svg:x="13.658cm" svg:y="6.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Cooked quinoa</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.327cm" svg:height="0.314cm" svg:x="13.862cm" svg:y="6.559cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Corn starch</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.327cm" svg:height="0.314cm" svg:x="13.862cm" svg:y="6.884cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Corn starch</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="4.612cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">60 °C</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="4.937cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">80 °C</text:span></text:p>
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    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">60 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="5.586cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">80 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="5.91cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">60 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="6.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">80 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="6.559cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">60 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.667cm" svg:height="0.314cm" svg:x="17.901cm" svg:y="6.884cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">80 °C</text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Results were expressed as mean and standard deviation. ANOVA </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.027cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.045cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">and Tukey’s test were applied to the response variables (p &lt; 0.05). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.582cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.433cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Statistical <text:s/>analyses <text:s/>of <text:s/>the <text:s/>data <text:s/>were <text:s/>performed <text:s/>using <text:s/>Statgraphics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.613cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="8.821cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Plus for Windows 4.0 (Statpoint Technologies, Inc., VA, USA).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr4" draw:text-style-name="P4" draw:layer="layout" svg:width="4.058cm" svg:height="0.471cm" svg:x="11.145cm" svg:y="9.566cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T2">Results and discussion</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.702cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="10.468cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Cooking weight loss of alpaca sausage with red quinoa as an </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="1.247cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="10.891cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">extender</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.159cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="11.314cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Cooking <text:s/>weight <text:s/>loss <text:s/>showed <text:s/>a <text:s/>non-significant <text:s/>change <text:s/>between </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.007cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="11.738cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">treatments (</text:span><text:span text:style-name="T10">p </text:span><text:span text:style-name="T3">&gt; 0.05) with the lowest values in treatments with red </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="6.835cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="12.161cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">quinoa cooked at 60 °C (T5), as shown in figure 1.</text:span></text:p>
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     <text:p/>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">Cooking loss (%)= <text:s text:c="76"/>x 100</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr16" draw:text-style-name="P14" draw:layer="layout" svg:width="5.768cm" svg:height="0.353cm" svg:x="3.758cm" svg:y="10.637cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">Weight before cooking-Weight after cooking</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr16" draw:text-style-name="P14" draw:layer="layout" svg:width="2.948cm" svg:height="0.353cm" svg:x="5.047cm" svg:y="11.046cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T15">Weight before cooking</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.415cm" svg:height="0.369cm" svg:x="11.113cm" svg:y="19.665cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Figure 1. Weight loss of alpaca sausage by cooking. </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.943cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="20.672cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Alpaca <text:s/>sausages <text:s/>with <text:s/>red <text:s/>quinoa <text:s/>cooked <text:s/>sous <text:s/>vide <text:s/>at <text:s/>60 <text:s/>°C </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.705cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.095cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">showed <text:s/>less <text:s/>weight <text:s/>loss <text:s/>by <text:s/>cooking <text:s/>(</text:span><text:span text:style-name="T10">p </text:span><text:span text:style-name="T3"><text:s/>&gt; <text:s/>0.05), <text:s/>with <text:s/>a <text:s/>maximum </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.074cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.519cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">of 1.23</text:span><text:span text:style-name="T10"> %</text:span><text:span text:style-name="T3"> with the addition of quinoa flour. This phenomenon was </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.205cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.942cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">also observed in the cooking of sausages made with cooked quinoa, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.353cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.365cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">which was lower compared to corn starch. In this regard, Muchekeza </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.964cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.788cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2021), indicated that the decrease or increase in weight loss </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.239cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.212cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">by cooking is due to the loss of moisture, related to the action of the </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.785cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.635cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">starch <text:s/>or <text:s/>type <text:s/>of <text:s/>protein <text:s/>in <text:s/>quinoa <text:s/>flour. <text:s/>Likewise <text:s/>Manzoor </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.332cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.058cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(2022) indicate that weight loss due to cooking causes a reduction of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.413cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.482cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">nutrients that are soluble in water, as well as color-forming pigments. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.362cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="24.905cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Change in antioxidant capacity in alpaca sausages during storage</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.799cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="25.328cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The ability to inhibit lipid peroxidation was one of the indicators </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">of the antioxidant activity of red quinoa in its different preparations. </text:span></text:p>
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   <draw:page draw:name="page4" draw:style-name="dp2" draw:master-page-name="master-page42">
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      <text:p text:style-name="P2"><text:span text:style-name="T7">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s/></text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s text:c="2"/></text:span><text:span text:style-name="T8">Rev. Fac. Agron. (LUZ). 2025, 42(3): e254241 July-September. ISSN 2477-9409.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">4-6 </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8">|</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">Figure <text:s/>2 <text:s/>shows <text:s/>the <text:s/>changes <text:s/>in <text:s/>antioxidant <text:s/>capacity <text:s/>values <text:s/>among </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">treatments and the decrease during storage (</text:span><text:span text:style-name="T10">p</text:span><text:span text:style-name="T3"> &lt; 0.05). </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">Figure 3. Change in TBARS of alpaca sausages. </text:span><text:span text:style-name="T3">The results are </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">expressed <text:s/>as <text:s/>mean <text:s/>and <text:s/>standard <text:s/>deviation. <text:s/>Values <text:s/>with </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">different <text:s/>lowercase <text:s/>letters <text:s/>(a-f) <text:s/>at <text:s/>the <text:s/>same <text:s/>time; <text:s/>values </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="7.639cm" svg:height="0.369cm" svg:x="2.62cm" svg:y="25.695cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with different capital letters (A-C) in the same treatment.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Figure <text:s/>2. <text:s/>Change <text:s/>of <text:s/>antioxidant <text:s/>capacity <text:s/>in <text:s/>alpaca <text:s/>sausages. </text:span><text:span text:style-name="T3"><text:s/>The </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.27cm" svg:height="0.369cm" svg:x="2.7cm" svg:y="8.555cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">results are expressed as mean and standard deviation. Values </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with different lowercase letters (a-e) at the same time; values </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">with different capital letters (A-C) in the same treatment.</text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.998cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="10.666cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Alpaca sausages made with the addition of raw quinoa and quinoa </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">flour as an extender had high antioxidant capacity values compared </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">to sausages made with corn starch, possibly due to the antioxidant </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">content provided by this raw material. Different studies indicate that </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">colored grains have a greater potential as ingredients in food systems, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">due to the high protein content and their phenolic compounds, such </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">as phenolic acids, flavonoids, kaempferol, and quercetin (Fernández-</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">López </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., <text:s/>2020). <text:s/>In <text:s/>addition, <text:s/>quinoa’s <text:s/>high <text:s/>antioxidant <text:s/>activity </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">reflects its ability to donate hydrogen atoms and electrons to interrupt </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">radical <text:s/>reactions <text:s/>and <text:s/>chelate <text:s/>transition <text:s/>metal <text:s/>ions <text:s/>(Sharma </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">2022), being able to inhibit oxidation in alpaca sausages.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">Change in TBARS of alpaca sausages during storage</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">During </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">storage, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">TBARS </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">values </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">the </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">treatments </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">changed </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">significantly and were different among the treatments (p</text:span><text:span text:style-name="T10"> </text:span><text:span text:style-name="T3">&lt; 0.05), as shown </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">in figure 3. Concerning TBARS values, Naqvi </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2022), point out that </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">a high TBARS value is associated with deterioration, as well as indicates </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">that the sous vide cooking technique helps to reduce the rate of oxidation.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The results obtained show that alpaca sausages with quinoa flour </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.036cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="1.557cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">cooked sous vide at 60 °C and 80 °C presented the lowest TBARS </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">values <text:s/>compared <text:s/>to <text:s/>the <text:s/>other <text:s/>treatments. This <text:s/>could <text:s/>be <text:s/>due <text:s/>to <text:s/>the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">inhibitory <text:s/>effect <text:s/>of <text:s/>the <text:s/>antioxidants <text:s/>of <text:s/>quinoa <text:s/>flour <text:s/>and <text:s/>the <text:s/>sous </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">vide cooking on oxidation during storage of alpaca sausages. In this </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">regard, Deng </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2024) mention that gallic acid could prevent lipid </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">and protein oxidation by acting as a scavenger and inhibitor of ROS. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The pH value during storage decreased in almost all treatments </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">Table 2. pH value of alpaca sausages with red quinoa cooked sous </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">vide. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">Treatments</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">Time </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 7</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 12</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.379cm" svg:height="0.314cm" svg:x="11.779cm" svg:y="9.486cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">pH</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.1</text:span></text:p>
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    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.354cm" svg:y="10.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="16.027cm" svg:y="10.123cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4.8±0.1</text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="16.888cm" svg:y="10.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.524cm" svg:y="10.123cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4.7±0.3</text:span></text:p>
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    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.349cm" svg:height="0.183cm" svg:x="19.385cm" svg:y="10.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abcA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.4±0.0</text:span></text:p>
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    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="14.396cm" svg:y="10.769cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.0±0.1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.1</text:span></text:p>
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    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.354cm" svg:y="11.404cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4.5±0.1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bdB</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.0±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="19.458cm" svg:y="11.404cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">dC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.811cm" svg:y="12.028cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="13.494cm" svg:y="12.028cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.354cm" svg:y="12.039cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="15.991cm" svg:y="12.028cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.0±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.349cm" svg:height="0.183cm" svg:x="16.851cm" svg:y="12.039cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.524cm" svg:y="12.028cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.7±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.349cm" svg:height="0.183cm" svg:x="19.385cm" svg:y="12.039cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">abcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.811cm" svg:y="12.663cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="13.53cm" svg:y="12.663cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.1±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.391cm" svg:y="12.674cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="16.064cm" svg:y="12.663cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4.7±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="16.924cm" svg:y="12.674cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.561cm" svg:y="12.663cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.4±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="19.421cm" svg:y="12.674cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.811cm" svg:y="13.298cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="13.494cm" svg:y="13.298cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.354cm" svg:y="13.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="16.027cm" svg:y="13.298cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="16.888cm" svg:y="13.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.561cm" svg:y="13.298cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.8±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="19.421cm" svg:y="13.309cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">abB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.811cm" svg:y="13.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="13.53cm" svg:y="13.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.1±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.391cm" svg:y="13.944cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="15.986cm" svg:y="13.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4.8±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.353cm" svg:height="0.183cm" svg:x="16.847cm" svg:y="13.944cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcdB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.561cm" svg:y="13.933cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.3±0.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="19.421cm" svg:y="13.944cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">cdC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.811cm" svg:y="14.568cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="13.494cm" svg:y="14.568cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.3±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.354cm" svg:y="14.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="16.068cm" svg:y="14.568cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.2±0.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="16.929cm" svg:y="14.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="18.561cm" svg:y="14.568cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">4.4±0.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="19.421cm" svg:y="14.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.447cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">The </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.709cm" svg:height="0.276cm" svg:x="11.672cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">results </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.366cm" svg:height="0.276cm" svg:x="12.46cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">are </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="1.039cm" svg:height="0.276cm" svg:x="12.904cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">expressed </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.273cm" svg:height="0.276cm" svg:x="14.021cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">as </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.599cm" svg:height="0.276cm" svg:x="14.37cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">mean </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.421cm" svg:height="0.276cm" svg:x="15.047cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.899cm" svg:height="0.276cm" svg:x="15.547cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">standard </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="1.043cm" svg:height="0.276cm" svg:x="16.526cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">deviation. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="1.132cm" svg:height="0.276cm" svg:x="17.65cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">Lowercase </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.667cm" svg:height="0.276cm" svg:x="18.862cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">letters </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="0.844cm" svg:height="0.276cm" svg:x="19.609cm" svg:y="15.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">indicate </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="9.425cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="15.379cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">significant differences (p &lt; 0.05) between rows (treatments). Capital letters indicate significant </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="5.421cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="15.676cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">differences (p &lt; 0.05) between columns (storage time).</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.044cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="16.885cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>lowest <text:s/>pH <text:s/>value <text:s/>was <text:s/>observed <text:s/>at <text:s/>T3 <text:s/>(quinoa <text:s/>flour <text:s/>+ <text:s/>60 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.734cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.326cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">°C) <text:s/>compared <text:s/>to <text:s/>the <text:s/>other <text:s/>treatments. <text:s/>These <text:s/>low <text:s/>pH <text:s/>values <text:s/>could </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.184cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="17.767cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">be attributed to microbial growth retardation Manzoor </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2022). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.205cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.208cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">On the other hand, Luan </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2021) mention that lowering pH can </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.48cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="18.649cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">decrease the coagulation and water-holding capacity of meat proteins. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">Additionally, <text:s/>Çelebi <text:s/>and <text:s/>Erge, <text:s/>(2024) <text:s/>claim <text:s/>that <text:s/>pH <text:s/>changes <text:s/>are </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">caused by the electrostatic interaction between proteins and starches.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The color change in alpaca sausages during storage (table 3) was </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">observed in the different decreases in the </text:span><text:span text:style-name="T10">L</text:span><text:span text:style-name="T3">*, </text:span><text:span text:style-name="T10">a</text:span><text:span text:style-name="T3">*, and </text:span><text:span text:style-name="T10">b</text:span><text:span text:style-name="T3">* values (P </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">&lt;0.05).</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">According to the results, T3 (quinoa flour + 60 °C) presented the <text:s/></text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.998cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="21.736cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">lowest </text:span><text:span text:style-name="T10">L*</text:span><text:span text:style-name="T3"> value, which is attributed to the oxidation of myoglobin </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.599cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="22.177cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">induced <text:s/>by <text:s/>pro-oxidants <text:s/>to <text:s/>form <text:s/>metmyoglobin <text:s text:c="3"/>(Adeyemi </text:span><text:span text:style-name="T10"><text:s/>et <text:s/>al</text:span><text:span text:style-name="T3">., </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">2025), <text:s/>causing <text:s/>a <text:s/>decrease <text:s/>in <text:s/>the </text:span><text:span text:style-name="T10"><text:s/>a* </text:span><text:span text:style-name="T3"><text:s/>and </text:span><text:span text:style-name="T10"><text:s/>b*</text:span><text:span text:style-name="T3"> <text:s/>values <text:s/>of <text:s/>sausages <text:s/>as </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.256cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.059cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">well as the soft texture of cooked sausages, causes lower brightness, </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">with a higher </text:span><text:span text:style-name="T10">L* </text:span><text:span text:style-name="T3">value compared to those formed in gels. In addition, </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.624cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="23.941cm">
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      <text:p text:style-name="P2"><text:span text:style-name="T3">phenolic <text:s/>compounds <text:s/>can <text:s/>act <text:s/>as <text:s/>scavengers <text:s/>and <text:s/>ROS <text:s/>inhibitors <text:s/>to </text:span></text:p>
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    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.658cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.382cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">inhibit <text:s/>myoglobin <text:s/>oxidation <text:s/>and <text:s/>exert <text:s/>a <text:s/>protective <text:s/>effect <text:s/>on <text:s/>color </text:span></text:p>
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    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.904cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="24.824cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">(Deng </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2024). In this regard, Deepitha </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2021) mention </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">that the interaction with phenolic compounds inhibits the process of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">initiation of myoglobin to its hypervalent state of ferryl myoglobin. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T7">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="8.439cm" svg:x2="5.47cm" svg:y2="8.439cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="8.439cm" svg:x2="8.015cm" svg:y2="8.439cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="8.439cm" svg:x2="10.445cm" svg:y2="8.439cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="13.852cm" svg:x2="2.925cm" svg:y2="13.852cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="13.852cm" svg:x2="5.47cm" svg:y2="13.852cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="13.852cm" svg:x2="8.015cm" svg:y2="13.852cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="13.852cm" svg:x2="10.445cm" svg:y2="13.852cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="19.265cm" svg:x2="2.925cm" svg:y2="19.265cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="19.265cm" svg:x2="5.47cm" svg:y2="19.265cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="19.265cm" svg:x2="8.015cm" svg:y2="19.265cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="19.265cm" svg:x2="10.445cm" svg:y2="19.265cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="2.079cm" svg:x2="2.925cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="3.025cm" svg:x2="2.925cm" svg:y2="3.025cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="2.079cm" svg:x2="5.47cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="2.079cm" svg:x2="8.015cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="2.079cm" svg:x2="10.445cm" svg:y2="2.079cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="2.552cm" svg:x2="5.47cm" svg:y2="2.552cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="2.552cm" svg:x2="8.015cm" svg:y2="2.552cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="2.552cm" svg:x2="10.445cm" svg:y2="2.552cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="3.025cm" svg:x2="5.47cm" svg:y2="3.025cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="3.025cm" svg:x2="8.015cm" svg:y2="3.025cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="3.025cm" svg:x2="10.445cm" svg:y2="3.025cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="3.627cm" svg:x2="2.925cm" svg:y2="3.627cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="3.627cm" svg:x2="5.47cm" svg:y2="3.627cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="3.627cm" svg:x2="8.015cm" svg:y2="3.627cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="3.627cm" svg:x2="10.445cm" svg:y2="3.627cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="9.04cm" svg:x2="2.925cm" svg:y2="9.04cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="9.04cm" svg:x2="5.47cm" svg:y2="9.04cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="9.04cm" svg:x2="8.015cm" svg:y2="9.04cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="9.04cm" svg:x2="10.445cm" svg:y2="9.04cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="1.199cm" svg:y1="14.454cm" svg:x2="2.925cm" svg:y2="14.454cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="2.925cm" svg:y1="14.454cm" svg:x2="5.47cm" svg:y2="14.454cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="5.469cm" svg:y1="14.454cm" svg:x2="8.015cm" svg:y2="14.454cm">
     <text:p/>
    </draw:line>
    <draw:line draw:style-name="gr13" draw:text-style-name="P1" draw:layer="layout" svg:x1="8.015cm" svg:y1="14.454cm" svg:x2="10.445cm" svg:y2="14.454cm">
     <text:p/>
    </draw:line>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="0.684cm" svg:height="0.369cm" svg:x="2.5cm" svg:y="1.531cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T9">vide.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.407cm" svg:height="0.314cm" svg:x="1.378cm" svg:y="2.397cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Treatments</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.709cm" svg:height="0.314cm" svg:x="6.374cm" svg:y="2.16cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Time </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.709cm" svg:height="0.314cm" svg:x="3.849cm" svg:y="2.633cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.709cm" svg:height="0.314cm" svg:x="6.394cm" svg:y="2.633cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.853cm" svg:height="0.314cm" svg:x="8.811cm" svg:y="2.633cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 12</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="3.17cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">L*</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="4.127cm" svg:y="3.171cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="6.672cm" svg:y="3.171cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="9.159cm" svg:y="3.171cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="3.774cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.605cm" svg:y="3.774cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">63.8±3.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.607cm" svg:y="3.785cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.109cm" svg:y="3.774cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">63.6±2.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.111cm" svg:y="3.785cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.633cm" svg:y="3.774cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">63.1±2.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="9.635cm" svg:y="3.785cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="4.376cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.605cm" svg:y="4.376cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">64.0±2.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.607cm" svg:y="4.387cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.086cm" svg:y="4.376cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">63.3±2.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.315cm" svg:height="0.183cm" svg:x="7.088cm" svg:y="4.387cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dAB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.597cm" svg:y="4.376cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">60.7±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.598cm" svg:y="4.387cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">cdC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="4.977cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.601cm" svg:y="4.977cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">60.2±3.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="4.602cm" svg:y="4.988cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.15cm" svg:y="4.977cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">59.0±0.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="7.152cm" svg:y="4.988cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">eA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.633cm" svg:y="4.977cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">59.0±2.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="9.635cm" svg:y="4.988cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">dA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="5.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.564cm" svg:y="5.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">64.6±1.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.566cm" svg:y="5.59cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.146cm" svg:y="5.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">62.9±1.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="7.147cm" svg:y="5.59cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.597cm" svg:y="5.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">62.0±1.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.598cm" svg:y="5.59cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="6.18cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.564cm" svg:y="6.18cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">66.0±1.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.566cm" svg:y="6.191cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.109cm" svg:y="6.18cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">65.6±1.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.111cm" svg:y="6.191cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.633cm" svg:y="6.18cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">63.4±0.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="9.635cm" svg:y="6.191cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">bB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="6.782cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.605cm" svg:y="6.782cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">72.2±1.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.607cm" svg:y="6.793cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.15cm" svg:y="6.782cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">70.8±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="7.152cm" svg:y="6.793cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.638cm" svg:y="6.782cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">66.7±1.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="9.639cm" svg:y="6.793cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T19">aB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="7.383cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.094cm" svg:height="0.314cm" svg:x="3.565cm" svg:y="7.383cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">66.9±1.5 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="4.638cm" svg:y="7.394cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.146cm" svg:y="7.383cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">66.8±2.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="7.147cm" svg:y="7.394cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.638cm" svg:y="7.383cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">66.3±1.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="9.639cm" svg:y="7.394cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="7.985cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.585cm" svg:y="7.985cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">70.7±0.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.235cm" svg:height="0.183cm" svg:x="4.586cm" svg:y="7.996cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18"><text:s/></text:span><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.094cm" svg:height="0.314cm" svg:x="6.115cm" svg:y="7.985cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">69.5±0.8 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="7.187cm" svg:y="7.996cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.094cm" svg:height="0.314cm" svg:x="8.603cm" svg:y="7.985cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">67.2±0.5 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="9.675cm" svg:y="7.996cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.29cm" svg:height="0.314cm" svg:x="1.921cm" svg:y="8.584cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">a*</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="4.127cm" svg:y="8.586cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="6.672cm" svg:y="8.586cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="9.159cm" svg:y="8.586cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="9.188cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.605cm" svg:y="9.188cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">15.0±1.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.607cm" svg:y="9.199cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.156cm" svg:y="9.188cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.9±0.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="7.147cm" svg:y="9.199cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="8.643cm" svg:y="9.188cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.5±0.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="9.634cm" svg:y="9.199cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="9.789cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="9.789cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">9.2±1.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="9.8cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="9.789cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.6±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="9.8cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="9.789cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.2±0.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="9.8cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="10.391cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.606cm" svg:y="10.391cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.8±0.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="4.597cm" svg:y="10.402cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.114cm" svg:y="10.391cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.5±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.106cm" svg:y="10.402cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="10.391cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.1±0.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="10.402cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="10.992cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="10.992cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.9±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="11.003cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.216cm" svg:y="10.992cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.0±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="7.077cm" svg:y="11.003cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.704cm" svg:y="10.992cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.2±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="9.564cm" svg:y="11.003cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="11.594cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.606cm" svg:y="11.594cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.8±1.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="4.597cm" svg:y="11.605cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.221cm" svg:y="11.594cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">9.3±0.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="7.081cm" svg:y="11.605cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.704cm" svg:y="11.594cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.7±1.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="9.564cm" svg:y="11.605cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="12.195cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="12.195cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.5±1.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="12.206cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.216cm" svg:y="12.195cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.1±1.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="7.077cm" svg:y="12.206cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="12.195cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.1±1.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="12.206cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="12.797cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="3.606cm" svg:y="12.797cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">11.9±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="4.597cm" svg:y="12.808cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="6.146cm" svg:y="12.797cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">10.8±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="7.147cm" svg:y="12.808cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="12.797cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.0±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="12.808cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="13.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="13.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.3±0.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="13.409cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.216cm" svg:y="13.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.0±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="7.077cm" svg:y="13.409cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="13.398cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.0±1.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="13.409cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.29cm" svg:height="0.314cm" svg:x="1.921cm" svg:y="13.997cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">b*</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="4.127cm" svg:y="14cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="6.672cm" svg:y="14cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="9.159cm" svg:y="14cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="14.601cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.598cm" svg:y="14.601cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.5±0.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.349cm" svg:height="0.183cm" svg:x="4.459cm" svg:y="14.612cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="14.601cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.6±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="14.612cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="14.601cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.2±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="14.612cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="15.203cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="15.203cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.4±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="15.214cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.221cm" svg:y="15.203cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">8.2±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="7.081cm" svg:y="15.214cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.708cm" svg:y="15.203cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.7±0.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="9.569cm" svg:y="15.214cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="15.804cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.635cm" svg:y="15.804cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.6±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.495cm" svg:y="15.815cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="15.804cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.2±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="15.815cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="15.804cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.0±1.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="15.815cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="16.406cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.676cm" svg:y="16.406cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.2±1.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="4.536cm" svg:y="16.416cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.216cm" svg:y="16.406cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.1±0.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="7.077cm" svg:y="16.416cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="16.406cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.0±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="16.416cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="17.007cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.635cm" svg:y="17.007cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.3±0.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.495cm" svg:y="17.018cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="17.007cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.3±0.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="17.018cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.708cm" svg:y="17.007cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.3±0.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="9.569cm" svg:y="17.018cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="17.609cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.635cm" svg:y="17.609cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.6±1.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.495cm" svg:y="17.619cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.216cm" svg:y="17.609cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.3±0.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="7.077cm" svg:y="17.619cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.708cm" svg:y="17.609cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.6±0.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="9.569cm" svg:y="17.619cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="18.21cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.635cm" svg:y="18.21cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.9±1.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.495cm" svg:y="18.221cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="18.21cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.4±0.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="18.221cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cdA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.667cm" svg:y="18.21cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">5.7±0.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="9.528cm" svg:y="18.221cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="1.906cm" svg:y="18.812cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="3.635cm" svg:y="18.812cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">7.0±0.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="4.495cm" svg:y="18.822cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="6.18cm" svg:y="18.812cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.9±0.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="7.04cm" svg:y="18.822cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.878cm" svg:height="0.314cm" svg:x="8.704cm" svg:y="18.812cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">6.5±0.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="9.564cm" svg:y="18.822cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="9.519cm" svg:height="0.276cm" svg:x="1.2cm" svg:y="19.31cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">The results are expressed as mean and standard deviation. Lowercase letters indicate significant </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="9.277cm" svg:height="0.276cm" svg:x="1.2cm" svg:y="19.606cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">differences (p &lt; 0.05) between rows. Capital letters indicate significant differences (p &lt; 0.05) </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="1.784cm" svg:height="0.276cm" svg:x="1.2cm" svg:y="19.903cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">between columns.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.201cm" svg:height="0.369cm" svg:x="1.7cm" svg:y="20.633cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">The </text:span><text:span text:style-name="T10"><text:s/>a* </text:span><text:span text:style-name="T3"><text:s/>value <text:s/>of <text:s/>red <text:s/>quinoa <text:s/>treatments <text:s/>was <text:s/>lower <text:s/>than <text:s/>that <text:s/>of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.497cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.056cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cornstarch, indicating that red quinoa helps preserve redness in alpaca </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.367cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.479cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sausages. Kasaiyan </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2023) mention that the parameter </text:span><text:span text:style-name="T10">a*</text:span><text:span text:style-name="T3"> could </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.485cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="21.913cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">be related to moisture loss and higher protein concentration in cooked </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.095cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.347cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">sausages. In addition Zhang </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2022) mention that meat, due to </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.692cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="22.781cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">its <text:s/>moisture <text:s/>content, <text:s/>allows <text:s/>better <text:s/>diffusion <text:s/>of <text:s/>color <text:s/>in <text:s/>the <text:s/>tissue, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.21cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.215cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">resulting in darker meat. Therefore, the use of red quinoa flour is an </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.994cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="23.649cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">alternative as a binder in sausages, improving the concentration of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.218cm" svg:height="0.369cm" svg:x="1.2cm" svg:y="24.083cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">proteins and the diffusion of color, together with the contribution of </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">As <text:s/>for the </text:span><text:span text:style-name="T10">b* </text:span><text:span text:style-name="T3">value, the red quinoa treatments were lower and </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">the <text:s/>same <text:s/>compared <text:s/>to <text:s/>the <text:s/>corn <text:s/>starch <text:s/>treatments, <text:s/>indicating <text:s/>that </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">red quinoa reduces discoloration, since an increase in the hue angle </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">means more discoloration (Manzoor </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">., 2022).</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">The <text:s/>change <text:s/>in <text:s/>texture <text:s/>values <text:s/>indicated <text:s/>by <text:s/>hardness <text:s/>and <text:s/>work </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">were significantly different between treatments, and some treatments </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">decreased significantly during storage (p</text:span><text:span text:style-name="T10"> </text:span><text:span text:style-name="T3">&lt; 0.05), as shown in table 4. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T9">Table 4. Alpaca sausage texture with red quinoa cooked sous vide. </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">Treatments</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16">Time (days)</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 7</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16">Day 12</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Hardness g</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="19.107cm" svg:y="5.985cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3544.2±64.0</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dA</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2833.0±88.9</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">eB</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T17">1955.8±85.5</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">eC</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2788.0±51.9</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">eAB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.958cm" svg:y="7.302cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2632.0±71.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.167cm" svg:height="0.183cm" svg:x="17.383cm" svg:y="7.313cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">fB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.374cm" svg:y="7.302cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2827.2±62.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="19.799cm" svg:y="7.313cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="7.907cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.52cm" svg:y="7.907cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4361.0±68.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.945cm" svg:y="7.918cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.945cm" svg:y="7.907cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3191.7±31.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="17.37cm" svg:y="7.918cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.374cm" svg:y="7.907cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2859.5±68.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="19.799cm" svg:y="7.918cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="8.512cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.525cm" svg:y="8.512cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3781.0±65.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="14.95cm" svg:y="8.523cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.949cm" svg:y="8.512cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4966.8±88.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="17.374cm" svg:y="8.523cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.369cm" svg:y="8.512cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3398.7±62.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="19.794cm" svg:y="8.523cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="9.117cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.52cm" svg:y="9.117cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4226.3±92.0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.945cm" svg:y="9.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.945cm" svg:y="9.117cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2286.2±62.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="17.37cm" svg:y="9.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">gB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.374cm" svg:y="9.117cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2141.2±95.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="19.799cm" svg:y="9.128cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">eB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="9.722cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.525cm" svg:y="9.722cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3815.5±58,1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="14.95cm" svg:y="9.733cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="16.015cm" svg:y="9.722cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3289.2±6.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="17.299cm" svg:y="9.733cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.383cm" svg:y="9.722cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">1231.2±45.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.167cm" svg:height="0.183cm" svg:x="19.808cm" svg:y="9.733cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">fC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="10.327cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.525cm" svg:y="10.327cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3799.2±52.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="14.95cm" svg:y="10.338cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.949cm" svg:y="10.327cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">3684.7±72.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="17.374cm" svg:y="10.338cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="18.369cm" svg:y="10.327cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">2509.5±32.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="19.794cm" svg:y="10.338cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">dB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="10.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="13.525cm" svg:y="10.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4768.2±83.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="14.95cm" svg:y="10.943cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.454cm" svg:height="0.314cm" svg:x="15.945cm" svg:y="10.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4640.3±29.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="17.37cm" svg:y="10.943cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.598cm" svg:height="0.314cm" svg:x="18.303cm" svg:y="10.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">4346.0±103.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="19.869cm" svg:y="10.943cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.09cm" svg:height="0.314cm" svg:x="11.604cm" svg:y="11.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T21">Work mJ</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="14.258cm" svg:y="11.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="16.683cm" svg:y="11.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="19.107cm" svg:y="11.535cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T16"><text:s/></text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="12.142cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="13.591cm" svg:y="12.142cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">159.7±30.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.874cm" svg:y="12.153cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.09cm" svg:y="12.142cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">100.0±6.4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="17.233cm" svg:y="12.153cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="18.409cm" svg:y="12.142cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">101.8±11.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.269cm" svg:height="0.183cm" svg:x="19.682cm" svg:y="12.153cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="12.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.382cm" svg:height="0.314cm" svg:x="13.555cm" svg:y="12.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">128.7±24.0 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.91cm" svg:y="12.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="16.025cm" svg:y="12.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">114.3±7.3b</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="17.298cm" svg:y="12.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="18.51cm" svg:y="12.747cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">149.7±5.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="19.653cm" svg:y="12.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="13.352cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.382cm" svg:height="0.314cm" svg:x="13.555cm" svg:y="13.352cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">160.6±25.0 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.91cm" svg:y="13.363cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="15.942cm" svg:y="13.352cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">164.6±63.2</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.349cm" svg:height="0.183cm" svg:x="17.226cm" svg:y="13.363cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="18.474cm" svg:y="13.352cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">125.1±3.5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="19.617cm" svg:y="13.363cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="13.957cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T4</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="13.591cm" svg:y="13.957cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">140.3±31.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="14.874cm" svg:y="13.968cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.049cm" svg:y="13.957cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">224.3±0.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="17.192cm" svg:y="13.968cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="18.51cm" svg:y="13.957cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">141.6±0.8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.197cm" svg:height="0.183cm" svg:x="19.653cm" svg:y="13.968cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="14.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T5</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="13.591cm" svg:y="14.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">169.6±64.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.874cm" svg:y="14.573cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.09cm" svg:y="14.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">99.4±17.7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="17.233cm" svg:y="14.573cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="18.474cm" svg:y="14.562cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">107.5±9.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="19.617cm" svg:y="14.573cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="15.167cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="13.554cm" svg:y="15.167cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">197.1±16.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="14.838cm" svg:y="15.178cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">abA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.09cm" svg:y="15.167cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">146.3±6.3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.184cm" svg:height="0.183cm" svg:x="17.233cm" svg:y="15.178cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cB</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.022cm" svg:height="0.314cm" svg:x="18.526cm" svg:y="15.167cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">65.7±5.6</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.303cm" svg:height="0.183cm" svg:x="19.528cm" svg:y="15.178cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">cAC</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="15.772cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T7</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.382cm" svg:height="0.314cm" svg:x="13.555cm" svg:y="15.772cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">155.43±8.5 </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.205cm" svg:height="0.183cm" svg:x="14.91cm" svg:y="15.783cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.049cm" svg:y="15.772cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">158.1±6.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="17.192cm" svg:y="15.783cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="18.474cm" svg:y="15.772cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">90.5±68.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.277cm" svg:height="0.183cm" svg:x="19.617cm" svg:y="15.783cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">bcA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.32cm" svg:height="0.314cm" svg:x="11.974cm" svg:y="16.377cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">T8</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="13.595cm" svg:y="16.377cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">261.2±15.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="14.879cm" svg:y="16.388cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.166cm" svg:height="0.314cm" svg:x="16.09cm" svg:y="16.377cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">228.5±3.1</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="17.233cm" svg:y="16.388cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.31cm" svg:height="0.314cm" svg:x="18.444cm" svg:y="16.377cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T17">234.4±26.9</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr18" draw:text-style-name="P16" draw:layer="layout" svg:width="0.193cm" svg:height="0.183cm" svg:x="19.728cm" svg:y="16.388cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T18">aA</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="9.519cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="16.878cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">The results are expressed as mean and standard deviation. Lowercase letters indicate significant </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="9.277cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="17.174cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">differences (p &lt; 0.05) between rows. Capital letters indicate significant differences (p &lt; 0.05) </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr11" draw:text-style-name="P11" draw:layer="layout" svg:width="1.784cm" svg:height="0.276cm" svg:x="11.145cm" svg:y="17.47cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T20">between columns.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.621cm" svg:height="0.369cm" svg:x="11.645cm" svg:y="18.662cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">During storage, the hardness value in the treatment with quinoa </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.036cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.085cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">cooked sous vide at 60 °C is lower compared to the treatment with </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="8.87cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.508cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">corn starch (</text:span><text:span text:style-name="T10">p </text:span><text:span text:style-name="T3">&lt; 0.05). In this regard, Zhang </text:span><text:span text:style-name="T10">et al</text:span><text:span text:style-name="T3">. (2022) indicate </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr5" draw:text-style-name="P5" draw:layer="layout" svg:width="9.362cm" svg:height="0.369cm" svg:x="11.145cm" svg:y="19.932cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T3">that <text:s/>the <text:s/>denaturation <text:s/>of <text:s/>proteins <text:s/>causes <text:s/>hardness <text:s/>in <text:s/>meat, <text:s/>while </text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T3">at <text:s/>60 <text:s/>°C <text:s/>showed <text:s/>the <text:s/>highest <text:s/>value <text:s/>in <text:s/>antioxidant <text:s/>capacity <text:s/>and <text:s/>the </text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T7">This scientific publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T8"><text:s text:c="2"/></text:span><text:span text:style-name="T8">Rev. Fac. Agron. (LUZ). 2025, 42(3): e254241 July-September. ISSN 2477-9409.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">K. M., Chimezie, V. O., &amp; Kazeem, M. O. (2025). Cholesterol oxides and </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">quality attributes of NaCl-substituted low-fat chicken sausages prepared </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">with </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">different </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">antioxidants. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Heliyon</text:span><text:span text:style-name="T14">, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">11</text:span><text:span text:style-name="T14">(2). </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">heliyon.2025.e41796</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Çelebi, U., &amp; Erge, A. (2024). An approach to produce healthier meat products: </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.265cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="3.758cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Effect of k-carrageenan and inulin on quality characteristics of bologna-</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">type chicken sausages. </text:span><text:span text:style-name="T22">International Journal of Gastronomy and Food </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">36</text:span><text:span text:style-name="T14">, 100907. https://doi.org/10.1016/j.ijgfs.2024.100907</text:span></text:p>
     </draw:text-box>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Choe, J.-H., Kim, H.-Y., Lee, J.-M., Kim, Y.-J., &amp; Kim, C.-J. (2013). Quality of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.752cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="4.957cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">frankfurter-type <text:s/>sausages <text:s/>with <text:s/>added <text:s/>pig <text:s/>skin <text:s/>and <text:s/>wheat <text:s/>fiber <text:s/>mixture </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">as fat replacers. </text:span><text:span text:style-name="T22">Meat Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">93</text:span><text:span text:style-name="T14">(4), 849-854. https://doi.org/10.1016/j.</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">meatsci.2012.11.054</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Cruz-Tirado, J. P., Vieira, M. S. dos S., Correa, O. O. V., Delgado, D. R., Angulo-</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Tisoc, J. M., Barbin, D. F., &amp; Siche, R. (2024). Detection of adulteration </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.27cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="6.456cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of Alpaca (</text:span><text:span text:style-name="T22">Vicugna pacos</text:span><text:span text:style-name="T14">) meat using a portable NIR spectrometer and </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">NIR-hyperspectral imaging. </text:span><text:span text:style-name="T22">Journal of Food Composition and Analysis</text:span><text:span text:style-name="T14">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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      <text:p text:style-name="P2"><text:span text:style-name="T22">126</text:span><text:span text:style-name="T14">, 105901. https://doi.org/10.1016/j.jfca.2023.105901</text:span></text:p>
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      <text:p text:style-name="P2"><text:span text:style-name="T14">Deepitha, R. P., Xavier, K. A. M., Layana, P., Nayak, B. B., &amp; Balange, A. K. </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(2021). Quality improvement of pangasius fillets using aqueous seaweed </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">extract. </text:span></text:p>
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     <draw:text-box>
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     <draw:text-box>
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     <draw:text-box>
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     <draw:text-box>
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     </draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.583cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="9.153cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">effects of ethanol extract from lotus seed peel powder. </text:span><text:span text:style-name="T22">Food Control, 158</text:span><text:span text:style-name="T14">, </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">110202. https://doi.org/10.1016/j.foodcont.2023.110202</text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Fernández-López, <text:s/>J., <text:s/>Lucas-González, <text:s/>R., <text:s/>Viuda-Martos, <text:s/>M., <text:s/>Sayas-Barberá, </text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">E., Ballester-Sánchez, J., Haros, C. M., Martínez-Mayoral, A., &amp; Pérez-</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Álvarez, J. A. (2020). Chemical and technological properties of bologna-</text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.569cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="10.68cm">
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     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">binder replacer. </text:span><text:span text:style-name="T22">Food Chemistry, 310</text:span><text:span text:style-name="T14">, 125936. https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.728cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="11.294cm">
     <draw:text-box>
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     <draw:text-box>
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     </draw:text-box>
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     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.198cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="12.214cm">
     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">LWT, 215</text:span><text:span text:style-name="T14">, 117268. https://doi.org/10.1016/j.lwt.2024.117268</text:span></text:p>
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     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">M., &amp; Mateo, J. (2023). Effects of the use of raw or cooked chickpeas </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.439cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="13.441cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">and <text:s/>the <text:s/>sausage <text:s/>cooking <text:s/>time <text:s/>on <text:s/>the <text:s/>quality <text:s/>of <text:s/>a <text:s/>lamb-meat, <text:s/>olive-</text:span></text:p>
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     <draw:text-box>
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     <draw:text-box>
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     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">109217. </text:span></text:p>
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     <draw:text-box>
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     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Lang, M. (2020). Consumer acceptance of blending plant-based ingredients into </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.321cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="14.668cm">
     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.679cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="14.975cm">
     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.933cm" svg:height="0.314cm" svg:x="2.93cm" svg:y="14.975cm">
     <draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.506cm" svg:height="0.314cm" svg:x="3.947cm" svg:y="14.975cm">
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Preference</text:span><text:span text:style-name="T14">, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.434cm" svg:height="0.314cm" svg:x="5.999cm" svg:y="14.975cm">
     <draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">103758. </text:span></text:p>
     </draw:text-box>
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    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.872cm" svg:height="0.314cm" svg:x="7.611cm" svg:y="14.975cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">https://doi.org/10.1016/j.</text:span></text:p>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">foodqual.2019.103758</text:span></text:p>
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     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.456cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="15.895cm">
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     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">as <text:s/>a <text:s/>new <text:s/>fat <text:s/>substitute <text:s/>improves <text:s/>the <text:s/>quality <text:s/>of <text:s/>pork <text:s/>sausages. </text:span><text:span text:style-name="T22"><text:s/>Meat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">197</text:span><text:span text:style-name="T14">, 109086. https://doi.org/10.1016/j.meatsci.2022.109086</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.129cm" svg:height="0.314cm" svg:x="1.211cm" svg:y="16.816cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Luan, X., Feng, M., &amp; Sun, J. (2021). Efecto de </text:span><text:span text:style-name="T22">Lactobacillus plantarum</text:span><text:span text:style-name="T14"> sobre </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.38cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="17.122cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">la <text:s/>actividad <text:s/>antioxidante <text:s/>en <text:s/>embutidos <text:s/>fermentados. </text:span><text:span text:style-name="T22"><text:s/>Food <text:s/>Research </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.554cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="17.429cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">International</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">144</text:span><text:span text:style-name="T14">, 110351. https://doi.org/10.1016/j.foodres.2021.110351</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.345cm" svg:height="0.314cm" svg:x="1.211cm" svg:y="17.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Ma, Q., Li, Z., Kumrungsee, T., Huang, W., &amp; Cao, R. (2023). Effect of pressure </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.706cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="18.043cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">cooking <text:s/>on <text:s/>phenolic <text:s/>compounds <text:s/>of <text:s/>quinoa. </text:span><text:span text:style-name="T22"><text:s/>Grain <text:s/>&amp; <text:s/>Oil <text:s/>Science <text:s/>and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.19cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="18.35cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Technology</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">6</text:span><text:span text:style-name="T14">(3), 127-134. https://doi.org/10.1016/j.gaost.2023.03.001</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.607cm" svg:height="0.314cm" svg:x="1.211cm" svg:y="18.656cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Manzoor, A., Ahmad, S., &amp; Yousuf, B. (2022). Effect of bioactive-rich mango peel </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.511cm" svg:height="0.314cm" svg:x="2.163cm" svg:y="18.963cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">extract <text:s/>on <text:s/>physicochemical, <text:s/>antioxidant <text:s/>and <text:s/>functional <text:s/>characteristics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.6cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="1.137cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of <text:s/>chicken <text:s/>sausage. </text:span><text:span text:style-name="T22"><text:s/>Applied <text:s/>Food <text:s/>Research</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>2</text:span><text:span text:style-name="T14">(2), <text:s/>100183. <text:s/>https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.765cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="1.436cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">org/10.1016/j.afres.2022.100183</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.396cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="1.736cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Monteiro, G. M., Souza, X. R., Costa, D. P. B., Faria, P. B., &amp; Vicente, J. (2017). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.363cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="2.036cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Partial <text:s/>substitution <text:s/>of <text:s/>pork <text:s/>fat <text:s/>with <text:s/>canola <text:s/>oil <text:s/>in <text:s/>Toscana <text:s/>sausage. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.27cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="2.335cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Innovative Food Science &amp; Emerging Technologies</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">44</text:span><text:span text:style-name="T14">, 2-8. https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.634cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="2.635cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">org/10.1016/j.ifset.2017.07.013</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.277cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="2.935cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Muchekeza, <text:s/>J. <text:s/>T., <text:s/>Jombo, <text:s/>T. <text:s/>Z., <text:s/>Magogo, <text:s/>C., <text:s/>Mugari, <text:s/>A., <text:s/>Manjeru, <text:s/>P., <text:s/>&amp; </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.433cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Manhokwe, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.303cm" svg:height="0.314cm" svg:x="13.644cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">S. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.908cm" svg:height="0.314cm" svg:x="14.042cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(2021). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.319cm" svg:height="0.314cm" svg:x="15.035cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Proximate, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.165cm" svg:height="0.314cm" svg:x="16.436cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">physico-chemical, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.238cm" svg:height="0.314cm" svg:x="18.668cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">functional </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.489cm" svg:height="0.314cm" svg:x="19.983cm" svg:y="3.235cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.418cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="3.534cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">sensory properties OF quinoa and amaranth flour AS potential binders in </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.774cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="3.834cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">beef <text:s/>sausages. </text:span><text:span text:style-name="T22"><text:s/>Food <text:s/>Chemistry</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="4.816cm" svg:height="0.314cm" svg:x="15.766cm" svg:y="3.843cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>365</text:span><text:span text:style-name="T14">, <text:s/>130619. <text:s/>https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.728cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="4.143cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">foodchem.2021.130619</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.641cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="4.443cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Naqvi, Z. B., Campbell, M. A., Latif, S., Thomson, P. C., Astruc, T., Friend, M. A., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.591cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="4.742cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Vaskoska, R., &amp; Warner, R. D. (2022). The effect of extended refrigerated </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.392cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="5.042cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">storage on the physicochemical, structural, and microbial quality of sous </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.426cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="5.342cm">
     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="7.931cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="5.642cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">186</text:span><text:span text:style-name="T14">, 108729. https://doi.org/10.1016/j.meatsci.2021.108729</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.044cm" svg:height="0.314cm" svg:x="11.18cm" svg:y="5.941cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Nyaguthii, K. C., Omwamba, M., &amp; Nduko, J. M. (2023). Gum arabic and soy </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.549cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="6.241cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">protein concentrate as binding agents on quality and nutritional properties </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.583cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="6.541cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">of <text:s/>mushroom-based <text:s/>sausage <text:s/>analogues. </text:span><text:span text:style-name="T22"><text:s/>Food <text:s/>and <text:s/>Humanity</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>1</text:span><text:span text:style-name="T14">, <text:s/>1627-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="5.992cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="6.84cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">1636. https://doi.org/10.1016/j.foohum.2023.11.010</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.552cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="7.14cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Owusu-Ansah, P., Besiwah, E. K., Bonah, E., &amp; Amagloh, F. K. (2022). Non-meat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.418cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="7.44cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">ingredients in meat products: A scoping review. </text:span><text:span text:style-name="T22">Applied Food Research, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="6.631cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="7.74cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">2</text:span><text:span text:style-name="T14">(1), 100044. https://doi.org/10.1016/j.afres.2022.100044</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.337cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="8.039cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Pintado, <text:s/>T., <text:s/>&amp; <text:s/>Delgado-Pando, <text:s/>G. <text:s/>(2020). <text:s/>Towards <text:s/>More <text:s/>Sustainable <text:s/>Meat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.159cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="8.339cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Products: Extenders as a Way of Reducing Meat Content. </text:span><text:span text:style-name="T22">Foods</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">9</text:span><text:span text:style-name="T14">(8), </text:span></text:p>
     </draw:text-box>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Article 8. https://doi.org/10.3390/foods9081044</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.265cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="8.938cm">
     <draw:text-box>
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     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.299cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.238cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(1999). Antioxidant activity applying an improved ABTS radical cation </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.164cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.538cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">decolorization assay. </text:span><text:span text:style-name="T22">Free Radical Biology and Medicine, 26</text:span><text:span text:style-name="T14">(9), 1231-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="6.272cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="9.838cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">1237. https://doi.org/10.1016/S0891-5849(98)00315-3</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.557cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="10.134cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Rocchetti, G., Ferronato, G., Sarv, V., Kerner, K., Venskutonis, P. R., &amp; Lucini, L. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.464cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="10.43cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">(2023). Meat extenders from different sources as protein-rich alternatives </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.761cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="10.727cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">to <text:s/>improve <text:s/>the <text:s/>technological <text:s/>properties <text:s/>and <text:s/>functional <text:s/>quality <text:s/>of <text:s/>meat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.371cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="11.023cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">products. </text:span><text:span text:style-name="T22"><text:s/>Current <text:s/>Opinion <text:s/>in <text:s/>Food <text:s/>Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>49</text:span><text:span text:style-name="T14">, <text:s/>100967. <text:s/>https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.689cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="11.319cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">org/10.1016/j.cofs.2022.100967</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.519cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="11.616cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Rosmini, M. R., Perlo, F., Pérez-Alvarez, J. A., Pagán-Moreno, M. J., Gago-Gago, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.752cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="11.912cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">A., <text:s/>López-Santoveña, <text:s/>F., <text:s/>&amp; Aranda-Catalá, <text:s/>V. <text:s/>(1996). <text:s/>TBA <text:s/>test <text:s/>by <text:s/>an </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.503cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="12.208cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">extractive method applied to ‘paté’. </text:span><text:span text:style-name="T22">Meat Science, 42</text:span><text:span text:style-name="T14">(1), 103-110. https://</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="4.595cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="12.505cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">doi.org/10.1016/0309-1740(95)00010-0</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.671cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="12.801cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Sharma, <text:s/>S., <text:s/>Kataria, <text:s/>A., <text:s/>&amp; <text:s/>Singh, <text:s/>B. <text:s/>(2022). <text:s/>Effect <text:s/>of <text:s/>thermal <text:s/>processing <text:s/>on </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.519cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="13.097cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">the <text:s/>bioactive <text:s/>compounds, <text:s/>antioxidative, <text:s/>antinutritional <text:s/>and <text:s/>functional </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.464cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="13.394cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">characteristics <text:s/>of <text:s/>quinoa <text:s/>(Chenopodium <text:s/>quinoa). </text:span><text:span text:style-name="T22"><text:s/>LWT</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>160</text:span><text:span text:style-name="T14">, <text:s/>113256. </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="4.82cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="13.69cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">https://doi.org/10.1016/j.lwt.2022.113256</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.324cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="13.986cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Smith, M. A., Nelson, C. L., Biffin, T. E., Bush, R. D., Hall, E. J. S., &amp; Hopkins, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.227cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="14.283cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">D. L. (2019). Vitamin E concentration in alpaca meat and its impact on </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.554cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="14.579cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">oxidative traits during retail display. </text:span><text:span text:style-name="T22">Meat Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">151</text:span><text:span text:style-name="T14">, 18-23. https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="4.015cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="14.875cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">org/10.1016/j.meatsci.2019.01.004</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.383cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="15.172cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Wang, Y., Wang, W., Jia, H., Gao, G., Wang, X., Zhang, X., &amp; Wang, Y. (2018). </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.265cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="15.468cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Using Cellulose Nanofibers and Its Palm Oil Pickering Emulsion as Fat </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.422cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="15.764cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Substitutes in Emulsified Sausage. </text:span><text:span text:style-name="T22">Journal of Food Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">83</text:span><text:span text:style-name="T14">(6), 1740-</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="5.476cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="16.061cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">1747. https://doi.org/10.1111/1750-3841.14164</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.764cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="16.357cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Zeraat <text:s/>Pisheh, <text:s/>F., <text:s/>Pirnia, <text:s/>M., <text:s/>Falah, <text:s/>F., Tabatabaei-Yazdi, <text:s/>F., <text:s/>Mortazavi, <text:s/>S. A., </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.397cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="16.653cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">&amp; <text:s/>Vasiee, <text:s/>A. <text:s/>(2025). <text:s/>Innovative <text:s/>edible <text:s/>coatings: </text:span><text:span text:style-name="T22"><text:s/>Lactiplantibacillus </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.268cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">plantarum</text:span><text:span text:style-name="T14"> </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.319cm" svg:height="0.314cm" svg:x="13.52cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">postbiotics </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.489cm" svg:height="0.314cm" svg:x="14.955cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">and </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.031cm" svg:height="0.314cm" svg:x="15.573cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">chitosan </text:span></text:p>
     </draw:text-box>
    </draw:frame>
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     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">as </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.281cm" svg:height="0.314cm" svg:x="17.171cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">a </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="1.331cm" svg:height="0.314cm" svg:x="17.508cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">clean-label </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.98cm" svg:height="0.314cm" svg:x="18.956cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">strategy </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="0.404cm" svg:height="0.314cm" svg:x="20.061cm" svg:y="16.95cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">for </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.236cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="17.246cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">sausage preservation. </text:span><text:span text:style-name="T22">Applied Food Research</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22">5</text:span><text:span text:style-name="T14">(1), 100958. https://doi.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="3.765cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="17.542cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">org/10.1016/j.afres.2025.100958</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="9.281cm" svg:height="0.314cm" svg:x="11.181cm" svg:y="17.839cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">Zhang, M., Chen, M., Fang, F., Fu, C., Xing, S., Qian, C., Liu, J., Kan, J., &amp; Jin, </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.494cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="18.135cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">C. (2022). Effect of sous vide cooking treatment on the quality, structural </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.426cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="18.431cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">properties <text:s/>and <text:s/>flavor <text:s/>profile <text:s/>of <text:s/>duck <text:s/>meat. </text:span><text:span text:style-name="T22"><text:s/>International <text:s/>Journal <text:s/>of </text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="8.427cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="18.728cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T22">Gastronomy <text:s/>and <text:s/>Food <text:s/>Science</text:span><text:span text:style-name="T14">, </text:span><text:span text:style-name="T22"><text:s/>29</text:span><text:span text:style-name="T14">, <text:s/>100565. <text:s/>https://doi.org/10.1016/j.</text:span></text:p>
     </draw:text-box>
    </draw:frame>
    <draw:frame draw:style-name="gr14" draw:text-style-name="P13" draw:layer="layout" svg:width="2.093cm" svg:height="0.314cm" svg:x="12.133cm" svg:y="19.024cm">
     <draw:text-box>
      <text:p text:style-name="P2"><text:span text:style-name="T14">ijgfs.2022.100565</text:span></text:p>
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