响应面法优化超声波辅助提取银杏叶黄酮类化合物

摘要

Response Surface Method ( RSM ) was applied to optimize ultrasound to extract flavonoids com-pound of Ginkgo leaves,taking flavonoids extraction rate as the evaluation index ,temperature,time and etha-nol concentration were chosen as the factors .Using central composite design principles of Box -Behnken and response surface method,the interaction effect of variables on yield was studied ,the prediction model of two polynomial regression equation was obtained through simulation , and the optimum extraction conditions were determined that liquid -solid ratio was 17.21∶1,ethanol concentration 63.13%,extraction temperature was 36.22 ℃,and ultrasonic time 35.05 mins.Under these conditions,the average flavonoids extraction rate was 6.64%,and the relative error was 2.2% compared to the predicted value 6.86%,which showed that the ex-perimental results were of guiding significance .%利用响应面分析法优化超声波辅助提取银杏叶黄酮类化合物的工艺，以液料比、提取温度、超声时间、乙醇浓度为响应因子，以黄酮类化合物的含量为响应值，利用 Box-Behnken 中心组合设计原理和响应面分析法，研究各自变量交互作用对得率的影响，模拟得到二次多项式回归方程的预测模型，确定最佳提取条件为：液料比17．21∶1；乙醇浓度：63．13％；超声时间：35．05 min；提取温度：36．22℃。在此条件下，黄酮提取率为6．64％，与预测的6．86％相比，误差为2．2％，说明通过响应面优化后的实验结果有一定的实验指导意义。