Plackett-Burman联用Box-Behnken响应面法优化凝胶膏剂基质研究

Optimization of the matrix formulation for cataplasm by Plackett-Burman combined with Box-Behnken response surface methodology

目的通过Plackett-Burman联用Box-Behnken响应面法优化凝胶膏剂的基质处方。方法以凝胶膏剂的初黏力和拉力为综合得分为评价指标,采用Plackett-Burman设计对凝胶膏剂制备工艺影响因素,用Box-Behnken响应面法对主要因素进行优化,并且进行多元线性回归与二项式方程拟合,预测最佳工艺。结果聚丙烯酸钠、聚乙烯醇、明胶对凝胶膏剂的性能影响显著,二项式方程复相关系数r为0.971 2,最佳配比为聚丙烯酸钠为5.25 g,聚乙烯醇为6.31 g,明胶为6.23 g。结论两法可预测凝胶膏剂基质的性能,且工艺上可行。

AIM To optimize the matrix formulation for cataplasm by Plackett-Burman combined with Box-Behnken response surface methodology. METHODS Plackett-Burman design was used to figure out the major influential factors in the process with a comprehensive scoring on indices of initial adhesion and tensile strength. With Box-Behnken response surface method in optimizing the main factors,the results from the multiple linear regression and the two term equation fitting were applied to forecasting the optimum process. RESULTS With multiple correlation coefficient r of binomial equation being 0. 9712,the suitable ratio for key materials of NP-700,PVA and gelatin was determined to be 5. 25（ g） ∶ 6. 31（ g） ∶ 6. 23（ g）. CONCLUSION The experimental results demonstrate that the combined method is predictable of a fine and feasible preparation process.