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Preparation of Carvedilol Nanoparticles by Emulsification Method and Optimization of Drug Release: Surface Response Design Versus Genetic Algorithm Publisher



Varshosaz J1 ; Moazen E1 ; Fathi M2
Authors
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Authors Affiliations
  1. 1. Department of Pharmaceutics, School of Pharmacy and Pharmaceutical Sciences and Novel Drug Delivery Systems Research Center, Isfahan University of Medical Sciences, Isfahan, P.O. Box 81745-359, Iran
  2. 2. Department of Food Science and Technology, Faculty of Agriculture, Isfahan University of Technology (IUT), Isfahan, Iran

Source: Journal of Dispersion Science and Technology Published:2012


Abstract

The objectives of this research were the production of Eudragit nanoparticles of carvedilol, an anti-hypertension drug, for enhancement of its absorption and optimization of drug release. Nanoparticles were prepared by emulsification-solvent evaporation or diffusion methods. The statistical surface response design, based on the Box-Behnken model, was applied to evaluate the effect of four variables, each in two levels, on specifications of nanoparticles. An intelligent modeling system was established according to genetic algorithm to predict drug release from the nanoparticles. The neural network-genetic algorithm model showed a more precise method than surface response design in the prediction of the release properties of carvedilol from Eudragit nanoparticles. © 2012 Copyright Taylor and Francis Group, LLC.