Optimization of preparation of Insulin nanoparticles composed of quaternized aromatic derivatives of chitosan using artificial neural networks

Optimization of preparation of Insulin nanoparticles composed of quaternized aromatic derivatives of chitosan using artificial neural networks

Optimization of preparation of Insulin nanoparticles composed of quaternized aromatic derivatives of chitosan using artificial neural networks

نوع فایل:PDF تعداد صفحات :7 سال انتشار : 1394 چکیده 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) 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...

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Optimization of preparation of Insulin nanoparticles composed of quaternized aromatic derivatives of chitosan using artificial neural networks

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