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An Unified Mathematical Expression for Ideal Peppas Model:Prospective Estimation of Percent Deviation


Affiliations
1 Department of Pharmaceutics, Sri Siddhartha Pharmacy College, Nuzvid, 521201, India
2 Department of Pharmaceutical Biotechnology, KVSR Siddhartha Pharmacy College, Vijayawada, 520010, India
     

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The aim of this study was to design and evaluate controlled-release formulations of a model drug, Nicorandil using gastroretentive approach. The dissolution test was employed using 0.1N HCL (pH 1.2) to measure the in vitro release behaviour of Nicorandil formulations. The best formulation of MCS4 is selected based on the identical drug release profile with theoretical release data which follows zero order and Higuchi model based on their higher square of correlation coefficient (R2) and adjusted coefficient of determination (R̅2). In order to evaluate the modeling of drug release from swellable polymeric systems, the drug release data was fitted into Korsmeyer-Peppas equation and the model showed higher R2 and R̅2 (0.9974 and 0.9971, respectively) with the diffusional exponent value (n) of 0.87. Further, the drug release of best formulation is checked for its deviation from an ideal release profile of Peppas model and confirmed that the test formulation is slightly deviate the ideal Peppas model.

Keywords

Controlled Release, Buoyancy, Diffusional Exponent, Percent Deviation, Two-Tiered Method.
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  • An Unified Mathematical Expression for Ideal Peppas Model:Prospective Estimation of Percent Deviation

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Authors

Ravindra Babu Baggi
Department of Pharmaceutics, Sri Siddhartha Pharmacy College, Nuzvid, 521201, India
Naveen Babu Kilaru
Department of Pharmaceutical Biotechnology, KVSR Siddhartha Pharmacy College, Vijayawada, 520010, India

Abstract


The aim of this study was to design and evaluate controlled-release formulations of a model drug, Nicorandil using gastroretentive approach. The dissolution test was employed using 0.1N HCL (pH 1.2) to measure the in vitro release behaviour of Nicorandil formulations. The best formulation of MCS4 is selected based on the identical drug release profile with theoretical release data which follows zero order and Higuchi model based on their higher square of correlation coefficient (R2) and adjusted coefficient of determination (R̅2). In order to evaluate the modeling of drug release from swellable polymeric systems, the drug release data was fitted into Korsmeyer-Peppas equation and the model showed higher R2 and R̅2 (0.9974 and 0.9971, respectively) with the diffusional exponent value (n) of 0.87. Further, the drug release of best formulation is checked for its deviation from an ideal release profile of Peppas model and confirmed that the test formulation is slightly deviate the ideal Peppas model.

Keywords


Controlled Release, Buoyancy, Diffusional Exponent, Percent Deviation, Two-Tiered Method.