Use este identificador para citar o ir al link de este elemento:
http://hdl.handle.net/1843/40752
Tipo: | Artigo de Periódico |
Título: | Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network |
Autor(es): | 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 |
Resumen: | 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. |
Asunto: | Lumefantrina Antimalárico Cinética da decomposição térmica |
Idioma: | eng |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Institución: | UFMG |
Departamento: | FAR - DEPARTAMENTO DE ALIMENTOS FAR - DEPARTAMENTO DE PRODUTOS FARMACÊUTICOS ICX - DEPARTAMENTO DE QUÍMICA |
Tipo de acceso: | Acesso Aberto |
Identificador DOI: | 10.21577/0103-5053.20190211 |
URI: | http://hdl.handle.net/1843/40752 |
Fecha del documento: | 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 |
Aparece en las colecciones: | Artigo de Periódico |
archivos asociados a este elemento:
archivo | Descripción | Tamaño | Formato | |
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Kinetics of Lumefantrine Thermal Decomposition Employing Isoconversional Models and Artificial Neural Network.pdf | 2.25 MB | Adobe PDF | Visualizar/Abrir |
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