响应面法优化微波提取沙果渣多酚工艺的研究

Optimization of microwave extraction of polyphenols from malusasiatica pomace by response surface methodology

以沙果渣为原料,用乙醇溶液为溶剂提取其中的多酚物质。在单因素试验基础上,选择乙醇浓度、料液比、微波功率、微波时间为自变量,多酚提取量为响应值,根据Box-Behnken试验设计原理,应用四因素三水平的响应面分析方法,由SAS软件得到二次多项式回归方程的预测模型,通过响应面法优化其提取工艺。结果表明:乙醇浓度、料液比、微波功率、微波时间等4个因素对沙果渣多酚的提取都有极显著的影响(P<0.01)。响应面分析得到的回归模型能够较好地预测实际提取量,微波法提取沙果渣多酚的最佳工艺条件为:乙醇浓度52%、料液比1∶21、微波功率540W、微波时间123 s,该条件下得到沙果渣多酚提取量为4.27mg/g,达到理论预测值的97.05%。与常规溶剂提取法相比,微波辅助提取法显著提高了沙果渣多酚提取量,大大缩短了提取时间。

The polyphenols were extracted from the malusasiatica pomace by ethanol,based on the single factor experimental analysis,the effects of ethanol concentration,material/liquid ratio,microwave power and microwave time on extraction yield of polyphenols were evaluated by response surface analysis methodology（RSM）.Based on Box-Behnken experimental design principle,RSM design of three factors and three levels was applied.A regression equation prediction model was established by SAS software for the analysis of response surface values,and the extraction processing parameters were optimized.The results showed that the above four factors reached a significant level on the yield（P0.01）,the practical extraction yield was well predicted by the regression model.The optimum extraction conditions were as follows：ethanol concentration was 52%,material/liquid ratio（g/mL）was 1 ∶21,microwave power was 540W and microwave time was 123s.Under these conditions,the extraction yield of malusasiatica pomace polyphenols was 4.27mg/g,which was consistent with the prediction of 97.05%.Compared with solvent extraction,application of microwave increased the yield of polyphenols greatly and also shortened the extraction time.