Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/50653
Type: Artigo de Periódico
Title: Kinetic study of anti-HIV drugs by thermal decomposition analysis: a multilayer artificial neural network propose
Authors: Bárbara Darós de Lelis Ferreira
Bárbara Caroline Rodrigues de Araujo
Rita de Cássia de Oliveira Sebastião
Maria Irene Yoshida
Wagner da Nova Mussel
Sílvia Ligório Fialho
Jamile Barbosa
Abstract: Kinetic study by thermal decomposition of antiretroviral drugs, efavirenz (EFV) and lamivudine (3TC), usually present in the HIV cocktail, can be done by individual adjustment of the solid decomposition models. However, in some cases, unacceptable errors are found using this methodology. To circumvent this problem, here is proposed to use a multilayer perceptron neural network, with an appropriate algorithm, which constitutes a linearization of the network by setting weights between the input layer and the intermediate one and the use of kinetic models as activation functions of neurons in the hidden layer. The interconnection weights between that intermediate layer and output layer determine the contribution of each model in the overall fit of the experimental data. Thus, the decomposition is assumed to be a phenomenon that can occur following different kinetic processes. In investigated data, the kinetic thermal decomposition process was best described by R1 and D4 models for all temperatures to EFV and 3TC, respectively. The residual error of adjustment over the network is on average 10³ times lower for EFV and 10² times lower for 3TC compared to the best individual kinetic model. These improvements in physical adjustment allow detailed study of the process and therefore a more accurate calculation of the kinetic parameters such as the activation energy and frequency factor.
Subject: Farmacocinética
Físico-química
Química analítica
Análise térmica
Calorimetria
Redes neurais (Computação)
HIV (Virus)
Medicamentos
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ICX - DEPARTAMENTO DE QUÍMICA
Rights: Acesso Restrito
metadata.dc.identifier.doi: https://doi.org/10.1007/s10973-016-5855-2
URI: http://hdl.handle.net/1843/50653
Issue Date: 2017
metadata.dc.url.externa: https://link.springer.com/article/10.1007/s10973-016-5855-2
Appears in Collections:Artigo de Periódico

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