Coconut Husk to Reducing Sugar Conversion Using Combined Ultrasound and Surfactant Aided Subcritical Water

Saiyyidah Tus Zuhroh, A. Fatmawati, A. Widjaja
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Abstract

The first purpose of this study was to investigate the effect of operating variables and surfactant concentration in subcritical water to after ultrasonic process on the sugar-producing yield from coconut husk. The second purpose was to obtain the optimum operating condition of the subcritical water process. The sonication before the subcritical water process was done by dispersing 40 mesh coconut husk powder in water at  60°C,  and  35  kHz. The effect of sonication time was studied by comparing the material crystallinity and composition after being treated for 30 minutes. In this research, the optimization was done by using a Box-Behnken response surface methodology (RSM) experimental design with 3 factors (temperature, time, and surfactant concentration). The designed lower and upper levels were 130°C and 170°C, 40, and 80 minutes, as well as 1 and 3% (w). The results showed that the quadratic response surface model predicted the maximum reducing sugar yield to be 12.0%, which was achieved at the optimum condition of 170°C, 77.5 minutes, and 2.3% SDS surfactant addition. The experiment run at the obtained optimum condition resulted in a reducing sugar yield of 11.7%, which was close to that obtained from the model prediction.
超声与表面活性剂辅助亚临界水联合作用下椰壳制取还原糖的研究
本研究的第一个目的是研究操作变量和亚临界水表面活性剂浓度对超声处理后椰子壳制糖率的影响。第二个目的是获得亚临界水工艺的最佳操作条件。亚临界水工艺前的超声处理是将40目椰壳粉分散在60℃、35 kHz的水中。通过比较处理30分钟后材料的结晶度和组成,研究了超声时间的影响。采用Box-Behnken响应面法(RSM)对温度、时间、表面活性剂浓度3个因素进行优化设计。设计的上、下温度分别为130°C、170°C、40、80分钟、1、3% (w)。结果表明,二次响应面模型预测的最大还原糖产率为12.0%,最佳条件为170°C、77.5分钟、添加2.3% SDS表面活性剂。在最佳条件下进行实验,还原糖得率为11.7%,与模型预测结果接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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16 weeks
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