Box-Behnken Design效应面法在制剂处方优化中的应用

Application of Box-Behnken Design response surface method in formulation optimization

Box-Behnken Design(BBD)效应面法是一种实验条件寻优的方法 ,采用多元二次回归方程拟合各因素与响应值之间的函数关系,找出预测的响应最优值以及相应的实验条件,是种多因素非线性实验优化方法,可以评估因素的非线性影响,在处方优化中广泛使用。该设计方法试验次数少,应用方便,优选的条件预测性好。目前,微球、自乳化释药体系、脂质体等制剂的处方优化越来越多选择BBD的优化法。

Box-Behnken Design（BBD） response surface method is a method of optimal experimental conditions. It finds out the optimal prediction of response values and the corresponding experimental conditions between the multivariate regression equation fitting each factor and response values. It is a kind of multi-factor non-linear optimization experiment method, can be used for assessed the non-linear effects of factors, and it is widely used in formulation optimization. This design has the advantages of fewer experiments, convenience and better prediction. At present, BBD can be used more and more frequently to optimize the formulation of microspheres, self-emulsifying drug release system, liposome and so on.