2003Journal of Shanghai MedicaRequires access

Optimized Formulation of Rizatriptan Benzoate Tablet by a Central Composite Design/Response Surface Methodology

Xia Hong

Open publisher page 1 citations

Abstract

Purpose To optimize the formulations of rizatriptan benzoate tablets by a central composite design/response surface methodology. Methods Independent variables were microcrystallinecellulose (MCC) content and crospovidone(PVPP) content,and disintegrating time was dependent variable. Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables. Response surfaces were delineated according to best-fit mathematic models, and optimum formulations were selected thereform. Prediction was carried out through comparing the observed and predicted values. Results Disintegrating time was not linear to MCC ocntent and PVPP content. Regression coefficients of se-cond-order and third-order quadratic models were as high as 0.992 4 and 0.998 5, respectively. Optimum formulation was proposed to contain MCC 3.0 g and PVPP 0. 3 g. Bias between observed and predicted values of disintegrating time was - 2. 68 % . Conclusions It shows that the optimum mathematic model is highly predictive.

About this research paper

What this paper is about

Purpose To optimize the formulations of rizatriptan benzoate tablets by a central composite design/response surface methodology. Methods Independent variables were microcrystallinecellulose (MCC) content and crospovidone(PVPP) content,and disintegrating time was dependent variable. Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables. Response surfaces were delineated according to best-fit mathematic models, and optimum formulations were selected thereform. Prediction was carried out through comparing the observed and predicted values. Results Disintegrating time was not linear to MCC ocntent and PVPP content. Regression coefficients of se-cond-order and third-order quadratic models were as high as 0.992 4 and 0.998 5, respectively. Optimum formulation was proposed to contain MCC 3.0 g and PVPP 0. 3 g. Bias between observed and predicted values of disintegrating time was - 2. 68 % . Conclusions It shows that the optimum mathematic model is highly predictive.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Purpose To optimize the formulations of rizatriptan benzoate tablets by a central composite design/response surface methodology. Methods Independent variables were microcrystallinecellulose (MCC) content and crospovidone(PVPP) content,and disintegrating time was dependent variable. Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables. Response surfaces were delineated according to best-fit mathematic models, and optimum formulations were selected thereform. Prediction was carried out through comparing the observed and predicted values. Results Disintegrating time was not linear to MCC ocntent and PVPP content. Regression coefficients of se-cond-order and third-order quadratic models were as high as 0.992 4 and 0.998 5, respectively. Optimum formulation was proposed to contain MCC 3.0 g and PVPP 0. 3 g. Bias between observed and predicted values of disintegrating time was - 2. 68 % . Conclusions It shows that the optimum mathematic model is highly predictive.

Key concepts: Response surface methodology, Quadratic model, Central composite design, Mathematics, Linear regression, Composite number, Biological system, Chromatography

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimized Formulation of Rizatriptan Benzoate Tablet by a Central Composite Design/Response Surface Methodology — Research Paper | ScholarLens