Abstract

The ultrasound-assisted extraction was carried out to separate the total cardiac glycoside from the milk of Calotropis gigantea, and the extraction factors was optimized by response surface method using the Box–Behnken design (BBD) on total cardiac glycoside extraction was determined and optimized. A quadratic polynomial parameter mathematical model was established. Under the optimized conditions of ethanol concentration = 40% (vol), liquid-material ratio = 40 : 1, ultrasound power = 420 W and ultrasonic time = 30 min, the total cardiac glycoside yield is 12.75%, which is very close to the predicted value of 12.48%. The model predicts the experimental data well and has a high determination coefficient (R² = 0.992). The variables that have a greater influence on the extraction yield were selected as ultrasonic power, ultrasonic time, ethanol concentration and liquid-material ratio, respectively.

中文翻译：

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响应面法优化超声辅助提取大角瓜乳中总强心苷

摘要

采用超声辅助提取方法从牛角瓜乳汁中分离总强心苷，并采用Box-Behnken设计（BBD）响应面法优化提取因子，确定并优化了总强心苷的提取。建立了二次多项式参数数学模型。在乙醇浓度=40%（vol）、液料比=40:1、超声功率=420 W、超声时间=30 min的优化条件下，强心苷总收率为12.75%，非常接近预测值为12.48%。该模型对实验数据的预测效果较好，决定系数较高（R ² = 0.992）。选取对提取率影响较大的变量分别为超声功率、超声时间、乙醇浓度和液料比。