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

Citations