Optimasi Pembuatan Film Biodegradabel dari Komposit Pati Sagu – MCC yang Dimodifikasi dengan Asam Sitrat

Trisuciati Syahwardini, Bahruddin, Ida Zahrina
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Abstract

Optimization is a way to find variable values that are considered optimal, effective, and efficient to achieve the desired results. The approach that is more often used for optimization problems with multi-variables is the desirability function. The components carried out by the optimization are microcrystalline cellulose (MCC) (x1), citric acid (x2), sorbitol (x3) with the response are Tensile Strength (Y1), Elongation (Y2), Modulus young (Y3), Biodegradability (Y4), and Water Uptake (Y5). Optimization is done by using Design Expert 10.0.1 Software. Through Desirability Function analysis, the optimum treatment composition was obtained at the MCC filler variation of 18% w / w starch, citric acid 3% w / w starch, and sorbitol 33% w / w starch with the optimum response value predicted for tensile strength (Y1) = 11.38 MPa; Elongation (Y2) = 13.54%; Young's modulus (Y3) = 118.05 MPa; Biodegradability (Y4) = 46.89%; and Water Uptake (Y5) = 52.13%. The combined desirability value is 0.551
Sagu淀粉复合材料的生物降解特性——用柠b酸改良的MCC
优化是一种找到被认为是最优的、有效的和高效的变量值以实现预期结果的方法。对于多变量优化问题,最常用的方法是期望函数。优化的组分为微晶纤维素(MCC) (x1)、柠檬酸(x2)、山梨糖醇(x3),响应为抗拉强度(Y1)、伸长率(Y2)、弹性模量(Y3)、可生物降解性(Y4)和吸水率(Y5)。优化是使用Design Expert 10.0.1软件完成的。通过可取函数分析,在MCC填料为18% w / w淀粉、柠檬酸3% w / w淀粉、山梨糖醇33% w / w淀粉的情况下,获得了最佳处理组合,预测抗拉强度Y1 = 11.38 MPa;伸长率(Y2) = 13.54%;杨氏模量(Y3) = 118.05 MPa;生物降解率(Y4) = 46.89%;吸水率(Y5) = 52.13%。合意值为0.551
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