2012Zhongguo shiyan fangjixue zazhiRequires access

Optimization of Paeonol Tablets Formulation by Central Composite Design-Response Surface Methodology

Tong Zhang

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Abstract

Objective:To optimize the formulation of paeonol tablets by the central composite design-response surface methodology.Method: In the formulation design using response surface methodology plus central composite design,independent variables included the amounts of MCC102,Cellactose 80,PVP S63 and the tablet hardness.Disintegration time and friability of tablets were taken as dependent variables,and overall desirability was calculated from the geometric mean of the two desirabilities of each formulation.Multilinear,quadratic and cubic models were used to estimate the relationship between the dependent and the independent variables,and to delineate response surface method and overlay contour plots in order to select the optimal formulations.Finally,predicted responses were verified.Result: The quantitative relationships between three factors and 3 evaluation indexes were characterized.Optimal formulation was proposed to contain 1% PVP S630,the proportion of MCC 102 and Cellactose 80 was 1 ∶ 1.Dissolution test of the selected optimal formulation indicated that there existed high approximation between the observed and estimated values.Conclusion: The muti-objective simultaneous optimization of paeonol tablets formulation could be achieved by the central composite design and response surface methodology.

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Objective:To optimize the formulation of paeonol tablets by the central composite design-response surface methodology.Method: In the formulation design using response surface methodology plus central composite design,independent variables included the amounts of MCC102,Cellactose 80,PVP S63 and the tablet hardness.Disintegration time and friability of tablets were taken as dependent variables,and overall desirability was calculated from the geometric mean of the two desirabilities of each formulation.Multilinear,quadratic and cubic models were used to estimate the relationship between the dependent and the independent variables,and to delineate response surface method and overlay contour plots in order to select the optimal formulations.Finally,predicted responses were verified.Result: The quantitative relationships between three factors and 3 evaluation indexes were characterized.Optimal formulation was proposed to contain 1% PVP S630,the proportion of MCC 102 and Cellactose 80 was 1 ∶ 1.Dissolution test of the selected optimal formulation indicated that there existed high approximation between the observed and estimated values.Conclusion: The muti-objective simultaneous optimization of paeonol tablets formulation could be achieved by the central composite design and response surface methodology.

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Available abstract

Objective:To optimize the formulation of paeonol tablets by the central composite design-response surface methodology.Method: In the formulation design using response surface methodology plus central composite design,independent variables included the amounts of MCC102,Cellactose 80,PVP S63 and the tablet hardness.Disintegration time and friability of tablets were taken as dependent variables,and overall desirability was calculated from the geometric mean of the two desirabilities of each formulation.Multilinear,quadratic and cubic models were used to estimate the relationship between the dependent and the independent variables,and to delineate response surface method and overlay contour plots in order to select the optimal formulations.Finally,predicted responses were verified.Result: The quantitative relationships between three factors and 3 evaluation indexes were characterized.Optimal formulation was proposed to contain 1% PVP S630,the proportion of MCC 102 and Cellactose 80 was 1 ∶ 1.Dissolution test of the selected optimal formulation indicated that there existed high approximation between the observed and estimated values.Conclusion: The muti-objective simultaneous optimization of paeonol tablets formulation could be achieved by the central composite design and response surface methodology.

Key concepts: Response surface methodology, Central composite design, Paeonol, Friability, Composite number, Mathematics, Multilinear map, Mathematical optimization

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