响应面法优化超声辅助双酶提取人参皂苷的工艺OA

To optimize the ultrasound-assisted dual enzymatic extraction process of ginsenosides from Panax ginseng,this study first investigated the effects of usage of cellulase and pectinase,enzymolysis temperature,enzymolysis time,solid-liquid ratio,ethanol concentration,extraction time,and ultrasound power on the ginsenoside extraction yield through single-factor experiments.Among these factors,ethanol concentration,enzymolysis temperature,and ultrasound power were identified as the key influencing variables.On this basis,a Box-Behnken design combined with response surface methodology was adopted to establish a regression model between the extraction yield and the selected factors,and subsequently to determine the optimal process parameters.The results showed that the model-predicted optimal conditions were ethanol concentration of 69％,enzymolysis temperature of 61℃,and ultrasound power of 558 W,under which the predicted extraction yield was 60.92 mg·g-1.For practical applicability,the parameters were adjusted to ethanol concentration of 70％,enzymolysis temperature of 60℃,and ultrasound power of 560 W.Under these modified conditions,the actual average extraction yield reached 61.28 mg·g-1,which was in good agreement with the predicted value.This study established a stable and efficient process for extracting ginsenosides,providing a foundation for the high-value utilization of Panax ginseng.