Hydrophilic polymers based sustained release matrix tablets of Ibuprofen: Optimization of formulation using Box-Behnken statistical design

Abstract

The current study was aimed to formulate sustained release matrix tablets of Ibuprofen; a Propionic acid derivative, and is non-steroidal anti-inflammatory agent (NSAID) with analgesic and antipyretic properties and optimize by using a 3-factor 3-level Box-Behnken statistical design as an optimization tool. Matrix tablets were prepared by direct compression technique using HPMC(X1), NaCMC(X2) and Xanthan Gum(X3) as independent variables and % release at 2hr (Y1), % release at 12hr (Y2) and hardness (Y3) of tablet were selected as dependent variables. Regression analysis was performed on dissolution data and construct polynomial regression models for these response variables. Polynomial models were further validated using ANOVA and results indicate that all the polymers used have significant effect on selected response (p<0.05). Contour plots were drawn to evaluate the effect of polymer combination on selected responses. The results obtained from kinetic modeling indicate that drug release follows the non-fickian diffusion process. Hence Box-Behnken statistical design facilitates the formulation and optimization of Ibuprofen sustained release matrix tablets to achieve better bioavailability.

Keywords: Matrix tablets, Sustained release, Ibuprofen, Ant-inflammatory, Box-Behnken statistical design