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In relation to this article, we declare that there is no conflict of interest.
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Received January 19, 2011
Accepted March 21, 2011
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Experimental design to predict process variables in the preparation of cellulose based sustained release microspheres system loaded with prednisolone-cyclodextrin complex

Pharmaceutical Engineering Research Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India 1Department of Pharmaceutics, KMCH College of Pharmacy, Coimbatore 641014, India 2Department of Chemistry, Jodhpur Park Boys School, Kolkata 700068, India
krpmohanraj@gmail.com
Korean Journal of Chemical Engineering, October 2011, 28(10), 1990-2001(12), 10.1007/s11814-011-0073-x
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Abstract

The purpose of this study was to evolve experimental design, to prepare the sustained release microspheres loaded with prednisolone-hydroxypropyl-β-cyclodextrin complex, and develop a successful mathematical model to predict various characteristics of microspheres. Response surface methodology (RSM) has been employed to develop model equations that correlate process variables such as ethyl cellulose (EC, mg), hydroxypropyl methyl cellulose (HPMC,_x000D_ mg), stirring speed (rpm) and surfactant (%) with the response variables such as entrapment efficiency (%), particle size (μm) and release rate (%) of the drug. The adequacy of model equations is confirmed by ANOVA result. Results as predicted by model equations are in good agreement with that of experimental results. In vitro drug release shows that drug (93%) is released from a check point formulation (CPF 2) over the period of 24 h with a sustained release fashion with Quasi-Fickian kinetics. Surface morphology of microspheres varies with the experimental conditions as evidenced by scanning electron microscopy.

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