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目的:优化栀黄搽剂的乙醇渗漉提取工艺,为制剂生产过程中的质量控制提供参考.方法:以乙醇体积分数(X1)、乙醇用量(X2)和渗滤速度(X3)为考察因素,以浸膏收得率(A)、栀子苷提含量(B)和黄芩苷含量(C)为响应值,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:拟合回归方程为Y=+82.64+6.34×A+3.23×B-1.00×C-0.90×A×B-5.65×A×C-0.46×B×C-6.65×A2～7.07×B2～6.39×C2,最优渗漉提取工艺为乙醇浓度57.16％、溶剂用量为13.8倍量、渗漉速率为4.62ml·min-1,平均得分为85分.3批验证实验表明实际值与预测值平均偏差小于0.01.结论:应用星点设计-效应面法优化栀黄搽剂提取工艺,实验值与预测值吻合度高,所建立的模型预测性良好,该法合理、可行.“,”Objective:To optimize the optimum percolation extraction conditions of Zhihuang Liniment and provide reference for the production process control.Methods:The ethanol concentration, infiltration rate and solvent dosage were studied as the index of the extraction of extract yield, Gardenoside and Baicalin.Through the various levels of independent variables and the binomial regression fitting, the Central Composite Design Method was used to optimized the percolation extraction, and validation test was also conducted.Results:The fitting regression equation was Y=+82.64+6.34×A+3.23×B-1.00×C-0.90×A×B-5.65×A×C-0.46×B× C-6.65×A2-7.07×B2-6.39×C2.The optimum extraction conditions were as follows:57.16％ ethanol concentration, percolation rate was 4.62 ml·min-1, and the dosage of solvent was 13.8 times, and the average was divided into 85 points.The average deviation of three verification experiments showed that the actual value and the predicted value was less than 0.01.Conclusion:Using the Central Composite Design-effect Surface Method to optimize the extraction process of the Zhihuang Liniment, the actual value and the predicted value was low deviation and the established model had good predictive quality, so this methode was reasonable and feasible.