Optimization of PET Glycolysis Process by Response Surface Methodological Approach: A Two-Component Modelling Using Glycolysis Time and Temperature

<table>Linear correlation plots between actual and predicted respon. (a) hydroxyl value, (b) acid value, (c) <svg height="14.325" id="M51" style="vertical-align:-3.20526pt" version="1.1" viewbox="0 0 21.887501 14.325" width="21.887501" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,14.325)">
<g transform="translate(72,-60.54)">
<text transform="matrix(1,0,0,-1,-71.95,63.79)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑀</tspan>
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<text transform="matrix(1,0,0,-1,-59.38,60.66)">
<tspan style="font-size: 8.75px; " x="0" y="0">𝑛</tspan>
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</g>
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</svg>, and (d) glycolysis conversion percentage, respectively.</table>

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Figure 2

Figure 2: Optimization of PET Glycolysis Process by Response Surface Methodological Approach: A Two-Component Modelling Using Glycolysis Time and Temperature 

Figure 2 | Optimization of PET Glycolysis Process by Response Surface Methodological Approach: A Two-Component Modelling Using Glycolysis Time and Temperature 