Liu Yanqing, Wang Hongwu, Cai Xuan
School of Chemistry & Chemical Engineering, Zhaoqing University, Zhaoqing, 526061 China.
Zhaoqing Entry-Exit Inspection and Quarantine, Zhaoqing, 526062 China.
J Food Sci Technol. 2015 Apr;52(4):2336-43. doi: 10.1007/s13197-014-1275-0. Epub 2014 Mar 1.
The response surface methodology (RSM) was used to optimize the conditions for total flavonoid extraction from Scutellaria baicalensis Georgi. The influences of the ethanol concentration, extraction time, temperature, and the liquid-solid ratio on flavonoid yield were investigated. Based on ANOVA results, a second-order quadratic polynomial model could be applied to characterize the extraction process. The following optimal extraction conditions were identified: ethanol concentration, 52.98 %; extraction time, 2.12 h; extraction temperature, 62.46 °C; and liquid-solid ratio, 35.23. The predicted extraction yield was 19.437 mg/g when these optimal conditions were used. The proposed method was successfully employed to extract flavonoids from S. baicalensis.
采用响应面法（RSM）优化黄芩中总黄酮的提取条件。考察了乙醇浓度、提取时间、温度和液固比对黄酮产量的影响。基于方差分析结果，可应用二阶二次多项式模型来表征提取过程。确定了以下最佳提取条件：乙醇浓度52.98%；提取时间2.12小时；提取温度62.46℃；液固比35.23。当使用这些最佳条件时，预测的提取产率为19.437mg/g。该方法成功用于从黄芩中提取黄酮类化合物。
