星点设计—效应面法优化升阳散火汤提取工艺

目的通过星点设计—效应面法优选升阳散火汤提取工艺。方法以加水量、水煮时间、醇沉浓度为自变量,以葛根素、阿魏酸、异阿魏酸、蛇床子素、异欧前胡素5种成分各自含量及干膏得率为因变量,采用Hassan方法计算总评"归一值",并用多元线性回归及二项式拟合,建立总评归一值与自变量之间的数学关系,经效应面法预测最佳工艺条件。结果确定最优提取工艺为16倍量水,水煮提取一次,提取160 min,过滤,调乙醇体积分数为75%,醇沉24 h。总评归一值OD的实验值与预测值平均偏差为-6.7%,二项拟合复相关系数r=0.995 3。结论星点设计—效应面法适用于升阳散火汤的提取工艺优化,所建立的数学模型预测性良好。

Optimized extraction of effective constituents from Shengyangsanhuo decoction based on central composite design-response surface methodology

Objectives To optimize the process for the extraction of effective constituents from Shengyangsanhuo decoction by central composite design and response surface methodology. Methods Independent variables included ethanol concentration, boiling time and solvent fold; dependent variables includes contents of puerarin, ferulic acid, isoferulic acid, osthol and isoimperatorin and recovery of extract. Dependent variables were transformed into desirabilities mathematically by Hassan’s method. Data of overall desirabilities were fitted to a second order polynomial equation, through which three dimensional response surface graphs were produced. Optimum experimental conditions were selected from the stationary point of the response surfaces. Results Regression coefficients of binomial fitting complex model was as high as 0.995 3. The optimum condition of extraction process were as follows: the material were boiled for 160 min with 16 times amount of water, and the extraction was performed for one time. Ethanol concentration was regulated to 75%. Bias between observed and predicted values was -6.7%. Conclusions Central composite design and response surface methodology are useful for the optimization of the process of extracting effective constituents from Shengyangsanhuo decoction. The estimation of the established model is good.