星点设计–响应面法优化头痛滴丸处方药材的渗漉提取工艺

Optimization of percolation extraction for prescription herbs in Toutong Dropping Pills by central composite design-response surface method

目的响应面法优化头痛滴丸的乙醇渗漉提取工艺。方法采用3个因素5个水平Box-Behnken试验设计,以乙醇体积分数、体积流量、乙醇用量为自变量,阿魏酸、木犀草苷、藁本内酯提取率的综合评分值为因变量,通过对自变量各水平的多元回归及二项式拟合,用响应面法优化乙醇渗漉提取工艺,并进行预测分析。结果最佳提取工艺条件为:乙醇体积分数70.71%,渗漉速度3.93 mL/min,乙醇用量13.09倍。在此条件下,阿魏酸提取率理论值87.82%,实际测得的平均值为85.75%;木犀草苷提取率理论值85.19%,实际测得的平均值为84.14%;藁本内酯提取率理论值93.96%,实际测得的平均值为95.01%。理论预测值与实测值偏差较小。结论建立的模型可较好地描述头痛滴丸处方药材的渗漉提取工艺中因素与指标的关系,模型具有良好的预测性。

Objective To optimize the extraction process for Toutong Dropping Pills by central composite design-response surface method. Methods Using the three-factor and five-level in Box-Behnken experimental design, the ethanol volumetric fraction, volumetric flow rate, and alcohol consumption were deemed as independence variable. The comprehensive scores of the extraction rate of ferulic acid, galuteolin, ligustilide were deemed as dependent variable. The experimental data were obtained by multiple regression and binomial fitting on the levels of the independent variables, the ethanol percolation extraction technology was optimized by central composite design-response surface method, and the predictive analysis was carried out. Results The optimum extraction conditions were as follows： 70.71% ethanol volume fraction, percolation velocity 3.93 mL/min, liquid-solid ratio 13.09 mL/g. Under these conditions, theoretical value of the extraction rate of ferulic acid was 87.82%, but practical measured value was 85.75%; Theoretical value of extraction rate of galuteolin was 85.19%, but practical measured value was 84.14%; Theoretical value of extraction rate of ligustilide 93.96%, but practical measured value was 95.01%; The deviation between the experimental results and predicted values was small. Conclusion The model can be used to describe the relationship between the factors and indexes of the percolation extraction process of Toutong Dropping Pills by central composite design-response surface method, and has better predictability.