Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/40752
Type: Artigo de Periódico
Title: Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
Authors: Maria Betânia de Freitas Marques
Bárbara Caroline Rodrigues de Araújo
Christian Fernandes
Maria Irene Yoshida
Wagner da Nova Mussel
Rita de Cássia de Oliveira Sebastião
Abstract: Thermal analysis can be used to determine shelf-life and kinetic parameters in pharmaceutical systems. This work investigates the kinetic of lumefantrine thermal decomposition, an antimalarial, using non-isothermal and isothermal experimental data. The non-isothermal conditions are analyzed applying Vyazovkin method, while isothermal conditions employ models fitting procedure and artificial neural network. Lumefantrine was characterized by powder X-ray diffraction and Fourier transform infrared spectroscopy. The initial stage of lumefantrine thermal decomposition, about 5% of conversion, corresponds to the loss of chlorine and hydroxyl, being correctly predicted by the neural network as a complex event. At room temperature, the D3 model is appropriate to describe the process, once the half-life time is 19 months, in agreement with manufacturer. Isoconversional model determined the activation energy along the whole process while isothermal methodology determined the global value considering the entire process. The results provide important information for the pharmaceutical industry to assay levels of acceptable lumefantrine contents.
Subject: Lumefantrina
Antimalárico
Cinética da decomposição térmica
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: FAR - DEPARTAMENTO DE ALIMENTOS
FAR - DEPARTAMENTO DE PRODUTOS FARMACÊUTICOS
ICX - DEPARTAMENTO DE QUÍMICA
Rights: Acesso Aberto
metadata.dc.identifier.doi: 10.21577/0103-5053.20190211
URI: http://hdl.handle.net/1843/40752
Issue Date: 2020
metadata.dc.url.externa: https://www.scielo.br/j/jbchs/a/bBmxxMZzr8zNQyfLHbJVM5F/?lang=en
metadata.dc.relation.ispartof: Journal of the Brazilian Chemical Society
Appears in Collections:Artigo de Periódico



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