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1.
Drug Res (Stuttg) ; 64(3): 151-8, 2014 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-24002926

RESUMEN

The aim of this research was to develop an artificial neural network (ANN) in order to design a nanoparticulate oral drug delivery system for insulin. The pH of polymer solution (X1), concentration ratio of polymer/insulin (X2) and polymer type (X3) in 3 level including methylated N-(4-N,N- dimethyl aminobenzyl) chitosan, methylated N-(4-pyridinyl) chitosan, and methylated N-(benzyl) chitosan are considered as the input values and the particle size, zeta potential, PdI, and entrapment efficiency (EE %) as output data. ANNs are employed to generate the best model to determining the relationships between input and response values. In this research, a multi-layer percepteron with different topologies has been tested in order to define the one with the best accuracy and performance. The optimization was used by minimizing the error between the predicted and observed values. Three training algorithms (Levenberg-Marquardt (LM), Bayesian-Regularization (BR), and Gradient Descent (GD)) were employed to train ANNs with various numbers of nodes, hidden layers and transfer functions by random selection. The accuracy of prediction data were assayed by the mean squared error (MSE).The ability of all algorithms was in the order: BR>LM>GD. Thus, BR was selected as the best algorithm.


Asunto(s)
Quitosano/análogos & derivados , Sistemas de Liberación de Medicamentos , Insulina/administración & dosificación , Redes Neurales de la Computación , Administración Oral , Algoritmos , Teorema de Bayes , Quitosano/química , Diseño de Fármacos , Concentración de Iones de Hidrógeno , Modelos Químicos , Nanopartículas , Tamaño de la Partícula , Compuestos de Amonio Cuaternario , Soluciones
2.
Arzneimittelforschung ; 62(12): 650-4, 2012 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-23196970

RESUMEN

Nicotine, the main pharmacologically active component in tobacco and cigarette, has some toxic effects and also high potential for addiction. In this study, the effect of artichoke (Cynara scolymus L.) and zeolite nano-materials on urinary excretion of nicotine and consequently elimination of systematically absorbed nicotine was investigated. A simple, valid and highly sensitive high performance liquid chromatography method has been developed for determination of nicotine in rat urine according to guidelines for bioanalysis.It was found that nano-zeolites can cause increase in urinary concentration of nicotine due to its high surface adsorption. Artichoke leaf extract can cause increase in urinary excretion of nicotine in longer post administration times. It was observed that co-administration of nanozeolites and the leaf extract has the synergetic effect on increasing the urinary excretion of nicotine.


Asunto(s)
Cynara scolymus/química , Nicotina/farmacocinética , Agonistas Nicotínicos/farmacocinética , Zeolitas/farmacología , Animales , Calibración , Cromatografía Líquida de Alta Presión , Indicadores y Reactivos , Límite de Detección , Nanopartículas , Nicotina/orina , Agonistas Nicotínicos/orina , Extractos Vegetales/farmacología , Hojas de la Planta/química , Ratas , Ratas Wistar , Reproducibilidad de los Resultados
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