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Multi Response Optimization of Bioactive Starch Foam Composite Using Taguchi’s Method and Grey Relational Analysis
Journal of Polymers and the Environment ( IF 4.7 ) Pub Date : 2020-03-19 , DOI: 10.1007/s10924-020-01706-x
Noppadon Janaum , Thanawin Butsiri , Pornnapa Kasemsiri , Mutjarin Souvanh , Uraiwan Pongsa , Somnuk Theerakulpisut , Salim Hiziroglu , Manunya Okhawilai

In this study, bioactive foam composite samples made from cassava starch and bioactive agents were prepared. The mix proportions of raw materials in the samples were designed using Taguchi method coupled with Grey relational analysis. L16 orthogonal array with three factors including spent coffee ground (SCG), zinc oxide (ZnO) and oregano essential oil/palm oil ratio (OEO/PO) at four-levels was chosen for determining an optimum mixture. Based on the signal-to-noise ratio and the analysis of variance of the results, additions of OEO/PO and SCG in the samples were the main factors in inhibition of Escherichia coli and Staphylococcus aureus. Furthermore, it was found that the increase of SCG, ZnO and PO in ratio of OEO/PO in the samples resulted in enhancement of flexural strength of bioactive foam composites. It appears that ZnO and OEO/PO were the major factors to improve water resistance of the samples. Also, the best ideal mixed proportion of the bioactive foam composite samples was obtained from Grey relational analysis.



中文翻译:

Taguchi法和灰色关联分析的生物活性淀粉泡沫复合材料多响应优化

在这项研究中,制备了由木薯淀粉和生物活性剂制成的生物活性泡沫复合材料样品。采用田口法和灰色关联分析法设计了样品中原料的混合比。选择具有三个因素(包括废咖啡粉(SCG),氧化锌(ZnO)和牛至精油/棕榈油比(OEO / PO))的四个级别的L16正交阵列来确定最佳混合物。根据信噪比和结果的方差分析,样品中添加OEO / PO和SCG是抑制大肠杆菌金黄色葡萄球菌的主要因素。此外,发现样品中OEG / PO比中SCG,ZnO和PO的增加导致生物活性泡沫复合材料的挠曲强度提高。看来ZnO和OEO / PO是提高样品耐水性的主要因素。而且,从灰色关联分析中获得了生物活性泡沫复合材料样品的最佳理想混合比例。

更新日期:2020-04-21
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