星点设计-效应面法优化姜黄素正负离子纳米结构脂质载体处方  

Optimization of preparation of curcumin-catanionic nanoparticles lipid carriers by central composite design-response surface methodology

作　　者：刘碧林[1] 石明芯 朱照静[2] 晏声蕾 张景勍[1] 

机构地区：[1]重庆医科大学重庆药物高校工程研究中心,重庆400016 [2]重庆医药高等专科学校,重庆401331

出　　处：《中草药》2016年第19期3401-3406,共6页Chinese Traditional and Herbal Drugs

基　　金：重庆市科委资助项目(cstc2015jcyj BX0027)

摘　　要：目的采用星点设计-效应面法(CCD-RSM)筛选姜黄素(Cur)正负离子纳米结构脂质载体(Cur-CNLC)最佳处方。方法采用薄膜分散-超声乳化法制备Cur-CNLC,分别以固体脂质质量(X1)、液体脂质质量(X2)、卵磷脂质量(X3)和混合表面活性剂用量(X4)为考察对象,以包封率(Y1)和脂质载药量(Y2)为考察指标,根据CCD原理和多元线性回归及二项式拟合建立指标与因素之间的数学关系,经RSM预测最优处方。结果按最优处方制备的Cur-CNLC包封率为(94.38±2.67)%,与预测值的偏差为1.23%;脂质载药量为(6.93±0.39)%,与预测值的偏差为2.62%;平均粒径为(235.9±9.6)nm,多分散指数(PDI)为0.272±0.017,Zeta电位为(-28.40±0.35)m V。结论采用CCD-RSM优化的Cur-CNLC,包封率高,稳定性好,方法可靠。Objective To optimize the formulation of curcumin-catanionic nanoparticles lipid carriers （Cur-CNLC） by central composite design-response surface methodology （CCD-RSM）. Methods Cur-CNLC were prepared by film dispersion-ultrasonic emulsifying method. A four factor, five-level central composite design was employed, with the solid lipid quality （X1）, liquid lipid quality （X2）, lecithin quality （X3）, and mixed surfactant concentration （X4） as the independent variables. The dependent variables were the entrapment efficiency （Y l） and drug loading （112）. The data were simulated using multi-linear equation and second-order polynomial equation, the possibly optimal formulation was predicted by response surface method. Results The entrapment efficiency, drug loading, average particle size, polydispersity, and Zeta potential of the Cur-CNLCs prepared under the optimized conditions were （94.38± 2.67）%, （6.93 ±0.39）%, （235.9 ± 9.6） nm, 0.272± 0.017, and （-28.40 ± 0,35） mV, respectively. The bias between the measured values and the predicted ones is less than 5%. Conclusion The CCD-RSM is effective and suitable for optimizing the formulation of Cur-CNLC.

关 键 词：姜黄素 正负离子纳米结构脂质载体 星点设计-效应面法 薄膜分散-超声乳化法 包封率 载药量 

分 类 号：R283.6[医药卫生—中药学]