EUROPEAN JOURNAL OF
PHARMACEUTICAL AND MEDICAL RESEARCH

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical, Medical & Biological Sciences

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

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 ISSN 2394-3211

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 ICV - 79.57

Abstract

APPLICATION OF CENTRAL COMPOSITE DESIGN BASED ON RESPONSE SURFACE METHODOLOGY FOR OPTIMIZATION OF EXTENDED RELEASE ACECLOFENAC MICROPARTICLES

B. Jayanthi*, S. Sarojini, M. Manikandan and P. K. Manna

ABSTRACT

The purpose of the present study was to develop a central composite design based on response surface methodology to optimize the process parameters for the formulation of extended release aceclofenac microparticles. The micro particles were prepared by emulsion solvent evaporation technique using ethyl cellulose as the polymer. Response surface methodology with three factors for five level design of experiments was employed to study the effect of independent variable stirring speed (X1), viscosity of oil phase (X2) and emulsifying agents (X3. The dependent variables includes particle size (Y1), drug entrapment efficiency (Y2) and percentage of drug release(Y3). High speed stirring and viscosity of oil phase results in decrease particle size with increased entrapment efficiency and stirring speed. The viscosity of oil phase has a positive impact on aceclofenac release over the period of 24hours. Drug-loaded micro particles exhibited the size ranging between 220.56 μm to 575.83μm with entrapment efficient ranging between 62.18% to 81.22%. and cumulative percentage drug release were ranging between 85.09% to 99.87%. The present study helped in predicting the optimized formula with excellent extended drug release. The results obtained, indicated that response surface methodology can be successfully used to optimized the formulation thereby reducing the number of trial time and cost of formulation development.

Keywords: Microparticle, Aceclofenac, Ethyl cellulose, Response surface methodology, Optimization, Extended Release.


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