响应面耦合遗传算法优化超声辅助复合酶提取红枣多糖工艺

Optimization of Ultrasonic-assisted Complex Enzyme Extraction Polysaccharides from Jujube by Response Surface Methodology Coupled with Genetic Algorithm

以红枣为原料,通过单因素试验探究超声功率、提取温度、复合酶添加量、料液比及提取时间对多糖得率的影响。在此基础上,采用响应面耦合遗传算法优化超声辅助复合酶提取(ultrasonic assisted complex enzyme extraction,UACEE)红枣多糖工艺,并对比不同提取方式对红枣多糖得率的影响。结果表明UACEE红枣多糖最优的工艺参数为:超声功率308 W、提取温度40℃、复合酶添加量0.49%、料液比1∶32(g/mL),提取时间30 min,在此条件下,所得红枣多糖得率为(7.68±0.01)%。试验值和理论值的相对误差为3.09%。表明响应面耦合遗传算法可较好地模拟和预测红枣多糖得率,且优化工艺参数是可行的。

The effects of the ultrasonic power,extraction temperature,complex enzyme dosage,solid-to-liquid ratio,and extraction time on the yield of polysaccharides extracted from jujube were investigated by single factor experiments.The response surface methodology coupled with a genetic algorithm was used to optimize the ultrasonic-assisted complex enzyme extraction(UACEE)process of jujube polysaccharides;moreover,the effects of different extraction methods on the yield of polysaccharides from jujube was explored via comparative methods.The results showed that the optimum extraction parameters to achieve the highest polysaccharide yield(7.68±0.01)%from jujube by UACEE were as follows:ultrasonic power of 308 W,extraction temperature of 40℃,complex enzyme dosage of 0.49%,solid-to-liquid ratio of 1∶32(g/mL),and extraction time of 30 min.The relative error between the experimental and theoretical values was 3.09%.The results showed that the response surface method coupled with the genetic algorithm could simulate and predict the polysaccharide yield from jujube;and the optimization of the process parameters was feasible.