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使用响应面法对格列吡嗪载药脂质球进行设计与统计优化。

Design and statistical optimization of glipizide loaded lipospheres using response surface methodology.

作者信息

Shivakumar Hagalavadi Nanjappa, Patel Pragnesh Bharat, Desai Bapusaheb Gangadhar, Ashok Purnima, Arulmozhi Sinnathambi

机构信息

Department of Pharmaceutical, K.L.E.S's College of Pharmacy, Bangalore-560010, India.

出版信息

Acta Pharm. 2007 Sep;57(3):269-85. doi: 10.2478/v10007-007-0022-8.

Abstract

A 32 factorial design was employed to produce glipizide lipospheres by the emulsification phase separation technique using paraffin wax and stearic acid as retardants. The effect of critical formulation variables, namely levels of paraffin wax (X1) and proportion of stearic acid in the wax (X2) on geometric mean diameter (dg), percent encapsulation efficiency (% EE), release at the end of 12 h (rel12) and time taken for 50% of drug release (t50), were evaluated using the F-test. Mathematical models containing only the significant terms were generated for each response parameter using the multiple linear regression analysis (MLRA) and analysis of variance (ANOVA). Both formulation variables studied exerted a significant influence (p < 0.05) on the response parameters. Numerical optimization using the desirability approach was employed to develop an optimized formulation by setting constraints on the dependent and independent variables. The experimental values of dg, % EE, rel12 and t50 values for the optimized formulation were found to be 57.54 +/- 1.38 mum, 86.28 +/- 1.32%, 77.23 +/- 2.78% and 5.60 +/- 0.32 h, respectively, which were in close agreement with those predicted by the mathematical models. The drug release from lipospheres followed first-order kinetics and was characterized by the Higuchi diffusion model. The optimized liposphere formulation developed was found to produce sustained anti-diabetic activity following oral administration in rats.

摘要

采用2×2析因设计,以石蜡和硬脂酸为阻滞剂,通过乳化相分离技术制备格列吡嗪脂质球。使用F检验评估关键处方变量,即石蜡水平(X1)和蜡中硬脂酸比例(X2)对几何平均直径(dg)、包封率(%EE)、12小时末释放量(rel12)和药物释放50%所需时间(t50)的影响。使用多元线性回归分析(MLRA)和方差分析(ANOVA)为每个响应参数生成仅包含显著项的数学模型。所研究的两个处方变量对响应参数均有显著影响(p<0.05)。采用合意性方法进行数值优化,通过对因变量和自变量设置约束来开发优化处方。优化处方的dg、%EE、rel12和t50的实验值分别为57.54±1.38μm、86.28±1.32%、77.23±2.78%和5.60±0.32小时,与数学模型预测值非常接近。脂质球的药物释放遵循一级动力学,并以Higuchi扩散模型为特征。所开发的优化脂质球制剂经大鼠口服给药后具有持续的抗糖尿病活性。

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