均匀设计联用星点设计优化白藜芦醇固体脂质纳米粒制备处方

Optimized formulation of resveratrol solid lipid nanoparticles by uniform design in combination with central composite design/response surface methodology

目的:建立准确、快速的白藜芦醇固体脂质纳米粒制备处方的优化方法。方法:先采用均匀实验设计初步优化影响白藜芦醇固体脂质纳米粒的处方配比的五个影响因素,以包封率、载药量、平均粒径及多分散指数为指标,通过多元线性回归方程确定处方中影响指标的主要因素,再采用星点设计-效应面法进一步优化处方,以包封率、载药量及归一化值为指标,通过非线性数学模型描绘的效应面优选处方配比。结果:均匀设计和星点设计联用后得到的优化处方制备的样品平均粒径为167nm、多分散指数为0.176、包封率为56.77、载药量为2.59。结论:均匀设计联用星点设计用于白藜芦醇处方配比的优化是一种简便、高效和模型预测好的实验方法。

AIM： To establish a method of optimizing the formulation of resveratrol solid lipid nanoparticles （SLN） quickly and accurately by uniform design in combination with central composite design and response surface. METHODS ： Firstly, uniform design was used to optimize the main factors from the five influence factors such as entrapment efficiency, drug loading, average diameter, and PDI （ Polydispersity Index）. Then, on the ground of it, the main factors determined by unifrom design were optimized by central composite design with three evaluation parameters and response surfaces were nonlineated according to best-fit mathematic models, so optimized formulation was obtained. RESULTS： According to the optimal conditions, the entrapment efficiency, the drug loading, the average diameter and the PDI（ Polydispersity Index） of the prepared Res-SLN were 56.77% ,2.59% , 167 nm and 0. 176, respectively. CONCLUSION ： The design of combination of uniform design with central composite design is a feasible and convenient method to optimize the prescription of Res-SLN.