利用响应面法对水酶法提取紫苏籽油和蛋白的工艺进行优化。在单因素试验基础上，以pH值、温度、酶添加量、时间为影响参数，油和蛋白得率为响应值，应用Box-Behnken试验建立数学模型，进行响应面分析。结果显示，拟合得到的方程显著，可以用以预测不同条件下油与蛋白质提取率，水酶法提取紫苏籽油及回收蛋白质的最优工艺条件为料液比1：4(g/mL)、pH8.94、温度61.3℃、酶添加量(质量分数)为1.5%、时间4.47h，在此条件下，油脂及蛋白质提取率分别为85.59%、73.43%。%Response surface methodology was employed to optimize the aqueous enzymatic extraction of oil and protein from perilla seeds. The extraction yields of protein and oil were investigated as a function of six extraction conditions including enzyme type, solid-to-solvent ratio, pH, temperature, enzyme loading and hydrolysis time. As a result, a mathematic model was established using a Box-Behnken experimental design. The model was statistically signiifcant and allowed accurate prediction of extraction yields of protein and oil under various conditions. Alcalase was identiifed as the best enzyme for the aqueous enzymatic extraction of oil and protein from perilla seeds and the optimized values of solid-to-solvent ratio, pH, temperature, enzyme loading, and hydrolysis time for extracting oil and protein from perilla seeds were 1:4, 8.94, 61.3℃, 1.5%and 4.47 h, respectively. Under the optimized conditions, the extraction yields of oil and protein were e 85.59%and 73.43%, respectively.
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