首页> 外文期刊>International Journal of Pharmaceutical Sciences and Research >FORMULATION & OPTIMIZATION OF SUSTAINED RELEASE MATRIX TABLETS OF SIMVASTATIN USING RESPONSE SURFACE METHODOLOGY
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FORMULATION & OPTIMIZATION OF SUSTAINED RELEASE MATRIX TABLETS OF SIMVASTATIN USING RESPONSE SURFACE METHODOLOGY

机译:响应表面法制备和优化辛伐他汀缓释基质片剂

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The aim of the work is to formulate sustained release matrix tablets of simvastatin and to optimize them using Response Surface Methodology. The tablets were prepared by direct compression method and evaluated as per pharmacopoeia methodology. A central composite design for 2 factors at 3 levels each was employed to systematically optimize drug release profile. Concentration of HPMC K15M (X1) and PVP K30 (X2) were taken as the independent variables and the in vitro dissolution (Y1), t50% (Y2) and mean dissolution time (Y3) as dependent variables. Response surface plots and contour plots were drawn, and the optimum formulations were selected by feasibility and grid searches. Both the polymers had a significant effect on drug release from the tablets. The formulations were followed Higuchi drug kinetics and diffusion was the prime mechanism of drug release. The polynomial mathematical models produce for various response variables using the regression analysis and were found to be statistically significant (P< 0.05). Optimization study was validated using 8 confirmatory runs, indicated very high degree of predictive ability of response surface methodology with mean percentage error 0.197 ± 0.017.The results of multiple linear regression analysis revealed that the sustained release tablets can be prepared using an optimum concentration of HPMC K 15 and PVP K30. Contour plot is presented to represent graphically the effect of the independent variables on the dependent variables selected
机译:这项工作的目的是配制辛伐他汀的缓释基质片剂,并使用响应表面法对其进行优化。通过直接压片法制备片剂,并根据药典方法进行评估。采用中央复合设计,分别针对3个水平的2个因子,以系统地优化药物释放曲线。 HPMC K15M(X1)和PVP K30(X2)的浓度作为自变量,体外溶出度(Y1),t50%(Y2)和平均溶出时间(Y3)作为因变量。绘制了响应面图和轮廓图,并通过可行性和网格搜索选择了最佳配方。两种聚合物均对片剂中的药物释放具有显著作用。遵循Higuchi药物动力学的配方,扩散是药物释放的主要机理。多项式数学模型使用回归分析得出各种响应变量,发现具有统计学意义(P <0.05)。通过8次验证运行对优化研究进行了验证,表明响应面方法的预测能力非常高,平均百分比误差为0.197±0.017。多重线性回归分析的结果表明,可以使用最佳浓度的HPMC制备缓释片剂K 15和PVP K30。等高线图以图形方式表示自变量对所选因变量的影响

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