Solid dispersions in the development of a nimodipine floating tablet formulation and optimization by artificial neural networks and genetic programming

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@Article{Barmpalexis2011122,

• author = "Panagiotis Barmpalexis and Kyriakos Kachrimanis and Emanouil Georgarakis",
• title = "Solid dispersions in the development of a nimodipine floating tablet formulation and optimization by artificial neural networks and genetic programming",
• journal = "European Journal of Pharmaceutics and Biopharmaceutics",
• volume = "77",
• number = "1",
• pages = "122--131",
• year = "2011",
• ISSN = "0939-6411",
• DOI = "doi:10.1016/j.ejpb.2010.09.017",
• URL = "http://www.sciencedirect.com/science/article/B6T6C-51696TP-1/2/61fc7d46e9a66d451646234b5e96dedb",
• keywords = "genetic algorithms, genetic programming, Solid dispersions, Nimodipine, Controlled release, Effervescent floating tablets, Artificial neural networks",
• abstract = "The present study investigates the use of nimodipine-polyethylene glycol solid dispersions for the development of effervescent controlled release floating tablet formulations. The physical state of the dispersed nimodipine in the polymer matrix was characterised by differential scanning calorimetry, powder X-ray diffraction, FT-IR spectroscopy and polarised light microscopy, and the mixture proportions of polyethylene glycol (PEG), polyvinyl-pyrrolidone (PVP), hydroxypropylmethylcellulose (HPMC), effervescent agents (EFF) and nimodipine were optimised in relation to drug release (percent release at 60 min, and time at which the 90percent of the drug was dissolved) and floating properties (tablet's floating strength and duration), employing a 25-run D-optimal mixture design combined with artificial neural networks (ANNs) and genetic programming (GP). It was found that nimodipine exists as mod I microcrystals in the solid dispersions and is stable for at least a three-month period. The tablets showed good floating properties and controlled release profiles, with drug release proceeding via the concomitant operation of swelling and erosion of the polymer matrix. ANNs and GP both proved to be efficient tools in the optimization of the tablet formulation, and the global optimum formulation suggested by the GP equations consisted of PEG = 9percent, PVP = 30percent, HPMC = 36percent, EFF = 11percent, nimodipine = 14percent.",

}

Genetic Programming entries for Panagiotis Barmpalexis Kyriakos Kachrimanis Emanouil Georgarakis

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