2014•International Journal of SciencesRequires access

APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) IN STATISTICAL OPTIMIZATION AND PHARMACEUTICAL CHARACTERIZATION OF A MATRIX TABLET FORMULATION USING METFORMIN HCL AS A MODEL DRUG

Tapan Kumar Pal, Shubhasis Dan, Nirnoy Dan

Open publisher page 3 citations

Abstract

The present study is about the application of a statistical optimization tool in the pharmaceutical tablet formulation. The toil of numerous scientists for years resulted in evolvement of the modified application based on the Response Surface Methodology (RSM). It has been found constructively eloquent in overcoming the problems of optimization regarding formulation of a sustained release tablet. In this study Metformin HCl is chosen as a model drug. In different time-points, experimental data are tabulated and graphically plotted. Depending upon the process variables, the predicted data obtained by RSM were compared with the experimental data. The result showed that the statistical optimization decreases the number of trial batches which is undoubtedly helpful in curtailing the resources i.e. principal, time and human effort.

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What this paper is about

The present study is about the application of a statistical optimization tool in the pharmaceutical tablet formulation. The toil of numerous scientists for years resulted in evolvement of the modified application based on the Response Surface Methodology (RSM). It has been found constructively eloquent in overcoming the problems of optimization regarding formulation of a sustained release tablet. In this study Metformin HCl is chosen as a model drug. In different time-points, experimental data are tabulated and graphically plotted. Depending upon the process variables, the predicted data obtained by RSM were compared with the experimental data. The result showed that the statistical optimization decreases the number of trial batches which is undoubtedly helpful in curtailing the resources i.e. principal, time and human effort.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The present study is about the application of a statistical optimization tool in the pharmaceutical tablet formulation. The toil of numerous scientists for years resulted in evolvement of the modified application based on the Response Surface Methodology (RSM). It has been found constructively eloquent in overcoming the problems of optimization regarding formulation of a sustained release tablet. In this study Metformin HCl is chosen as a model drug. In different time-points, experimental data are tabulated and graphically plotted. Depending upon the process variables, the predicted data obtained by RSM were compared with the experimental data. The result showed that the statistical optimization decreases the number of trial batches which is undoubtedly helpful in curtailing the resources i.e. principal, time and human effort.

Key concepts: Response surface methodology, Statistical analysis, Matrix (chemical analysis), Experimental data, Process optimization, Computer science, Design of experiments, Mathematics

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APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) IN STATISTICAL OPTIMIZATION AND PHARMACEUTICAL CHARACTERIZATION OF A MATRIX TABLET FORMULATION USING METFORMIN HCL AS A MODEL DRUG — Research Paper | ScholarLens