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

โœ Scribed by Varshosaz, Jaleh; Moazen, Elaheh; Fathi, Milad


Book ID
120508331
Publisher
Taylor and Francis Group
Year
2012
Tongue
English
Weight
690 KB
Volume
33
Category
Article
ISSN
0193-2691

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โœฆ Synopsis


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.


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