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Abstract

OPTIMIZATION OF LORNOXICAM SUSTAINED RELEASE MATRIX USING 3 POLYMERIC BLEND AND 3 FACTOR 3 LEVELS BOXBEHNKEN DESIGN

Iqbal A1, Kashif M1, Ahmed S1, Rahman NU2 and Sarfraz MK3*

1Department of Pharmacy, The Islamia University of Bahawalpur, Pakistan
2Department of Pharmacy, COMSATS Institute of Information Technology, Abbottabad, Pakistan
3Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Canada.

ABSTRACT

Purpose: The current study was based to optimize and evaluate sustained release matrix tablet of Lornoxicam for minimizing GIT disturbances especially during ulceration. Method: A 3-factor 3-level Box-Behnken statistical design was used as an optimization tool having total of 17 experimental runs with 5 central points. Matrix tablets were prepared by direct compression using powder mixture of drug with three polymers as independent variables in a blender mixer. HPMC K15(X1), EC(X2) and NaCMC(X3) were selected as independent variables and % drug release in 2hr (Y1) and 12hr(Y2) as dependent variables. FTIR studies were also performed to find out any possible interaction between polymers and drug during course of compression cycle and found no change in main peaks of drug before and after compression showing the stability of drug with no interaction with polymers. Results: Results indicate that all the polymers used have significant effect on selected response. Regression analysis was performed on dissolution data and construct polynomial regression models for these response variables. Polynomial models were further validated using ANOVA and all the polymers used have significant effect on selected response (p>0.05). Moreover, in vivo profiles of two tablet formulations were also reflective of a slow and sustained rate of drug absorption. Conclusion: Study indicated Box Behnken statistical design is successfully applied to formulate and optimize lornoxicam sustained release matrix tablets with blend of three polymers (HPMC, EC and NaCMC).

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