In order to obtain the active hydrolysate with good α-glucosidase inhibition activities,scallop skirts were used as the raw material which were hydrolyzed by the selected compound protease.To simulate and predict these hydrolysis processes,a Back-Propagation neural network was established.Parameters of the enzyme quantity,the substrate concentration and the hydrolysis duration were used as inputs,and the corresponding output was inhibitory rate of α-glucosidase.The optimization of enzymatic hydrolysis process was carried out by the genetic algorithm method.Results showed that the maximum inhibitory rate of the hydrolysate could reach 95.5％ ± 2.6％ under conditions of enzyme quantity 140 U/mL,substrate concentration 2％,hydrolysis duration 4.4 h,respectively.In this study,the established model could accurately predict and monitor the enzymatic hydrolysis of scallop skirts.This study could provide basis data for further bioactivity researches and utilizations of scallop skirts.%以虾夷扇贝为原料,采用复合蛋白酶水解的方式,研究了扇贝裙边酶解液对α-葡萄糖苷酶的抑制作用.在均匀实验的基础上,以加酶量、底物浓度、反应时间为输入,α-葡萄糖苷酶抑制率为输出,建立扇贝裙边酶解的BP神经网络模型.结果表明:利用遗传算法优化酶解条件,得到的最佳工艺为加酶量140 U/mL、底物浓度2％、反应时间4.4 h.在此条件下,酶解液的体外α-葡萄糖苷酶抑制率为95.5％±2.6％.此方法在工艺优化过程中实现对扇贝裙边酶解过程的拟合和监控,进而为扇贝裙边的开发利用提供基础性数据.
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