Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network

Detalhes bibliográficos
Autor(a) principal: Maria Betânia de Freitas Marques
Data de Publicação: 2020
Outros Autores: Bárbara Caroline Rodrigues de Araújo, Christian Fernandes, Maria Irene Yoshida, Wagner da Nova Mussel, Rita de Cássia de Oliveira Sebastião
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/40752
Resumo: CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
id UFMG_15c650c288f312d95bf4f3f593be4b17
oai_identifier_str oai:repositorio.ufmg.br:1843/40752
network_acronym_str UFMG
network_name_str Repositório Institucional da UFMG
repository_id_str
spelling 2022-04-04T21:52:07Z2022-04-04T21:52:07Z202031351252210.21577/0103-5053.201902110103-5053http://hdl.handle.net/1843/40752CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThermal 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.engUniversidade Federal de Minas GeraisUFMGBrasilFAR - DEPARTAMENTO DE ALIMENTOSFAR - DEPARTAMENTO DE PRODUTOS FARMACÊUTICOSICX - DEPARTAMENTO DE QUÍMICAJournal of the Brazilian Chemical SocietyLumefantrinaAntimaláricoCinética da decomposição térmicaSolid thermal stabilityAntimalarial drugKinetic tripletThermogravimetryMultilayer perceptron networkKinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural networkinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.scielo.br/j/jbchs/a/bBmxxMZzr8zNQyfLHbJVM5F/?lang=enMaria Betânia de Freitas MarquesBárbara Caroline Rodrigues de AraújoChristian FernandesMaria Irene YoshidaWagner da Nova MusselRita de Cássia de Oliveira Sebastiãoapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/40752/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALKinetics of Lumefantrine Thermal Decomposition Employing Isoconversional Models and Artificial Neural Network.pdfKinetics of Lumefantrine Thermal Decomposition Employing Isoconversional Models and Artificial Neural Network.pdfapplication/pdf2301327https://repositorio.ufmg.br/bitstream/1843/40752/2/Kinetics%20of%20Lumefantrine%20Thermal%20Decomposition%20Employing%20Isoconversional%20Models%20and%20Artificial%20Neural%20Network.pdfedb714e722a2776360bbef39b77489ddMD521843/407522022-04-04 18:52:07.373oai:repositorio.ufmg.br:1843/40752TElDRU7vv71BIERFIERJU1RSSUJVSe+/ve+/vU8gTu+/vU8tRVhDTFVTSVZBIERPIFJFUE9TSVTvv71SSU8gSU5TVElUVUNJT05BTCBEQSBVRk1HCiAKCkNvbSBhIGFwcmVzZW50Ye+/ve+/vW8gZGVzdGEgbGljZW7vv71hLCB2b2Pvv70gKG8gYXV0b3IgKGVzKSBvdSBvIHRpdHVsYXIgZG9zIGRpcmVpdG9zIGRlIGF1dG9yKSBjb25jZWRlIGFvIFJlcG9zaXTvv71yaW8gSW5zdGl0dWNpb25hbCBkYSBVRk1HIChSSS1VRk1HKSBvIGRpcmVpdG8gbu+/vW8gZXhjbHVzaXZvIGUgaXJyZXZvZ++/vXZlbCBkZSByZXByb2R1emlyIGUvb3UgZGlzdHJpYnVpciBhIHN1YSBwdWJsaWNh77+977+9byAoaW5jbHVpbmRvIG8gcmVzdW1vKSBwb3IgdG9kbyBvIG11bmRvIG5vIGZvcm1hdG8gaW1wcmVzc28gZSBlbGV0cu+/vW5pY28gZSBlbSBxdWFscXVlciBtZWlvLCBpbmNsdWluZG8gb3MgZm9ybWF0b3Mg77+9dWRpbyBvdSB277+9ZGVvLgoKVm9j77+9IGRlY2xhcmEgcXVlIGNvbmhlY2UgYSBwb2zvv710aWNhIGRlIGNvcHlyaWdodCBkYSBlZGl0b3JhIGRvIHNldSBkb2N1bWVudG8gZSBxdWUgY29uaGVjZSBlIGFjZWl0YSBhcyBEaXJldHJpemVzIGRvIFJJLVVGTUcuCgpWb2Pvv70gY29uY29yZGEgcXVlIG8gUmVwb3NpdO+/vXJpbyBJbnN0aXR1Y2lvbmFsIGRhIFVGTUcgcG9kZSwgc2VtIGFsdGVyYXIgbyBjb250Ze+/vWRvLCB0cmFuc3BvciBhIHN1YSBwdWJsaWNh77+977+9byBwYXJhIHF1YWxxdWVyIG1laW8gb3UgZm9ybWF0byBwYXJhIGZpbnMgZGUgcHJlc2VydmHvv73vv71vLgoKVm9j77+9IHRhbWLvv71tIGNvbmNvcmRhIHF1ZSBvIFJlcG9zaXTvv71yaW8gSW5zdGl0dWNpb25hbCBkYSBVRk1HIHBvZGUgbWFudGVyIG1haXMgZGUgdW1hIGPvv71waWEgZGUgc3VhIHB1YmxpY2Hvv73vv71vIHBhcmEgZmlucyBkZSBzZWd1cmFu77+9YSwgYmFjay11cCBlIHByZXNlcnZh77+977+9by4KClZvY++/vSBkZWNsYXJhIHF1ZSBhIHN1YSBwdWJsaWNh77+977+9byDvv70gb3JpZ2luYWwgZSBxdWUgdm9j77+9IHRlbSBvIHBvZGVyIGRlIGNvbmNlZGVyIG9zIGRpcmVpdG9zIGNvbnRpZG9zIG5lc3RhIGxpY2Vu77+9YS4gVm9j77+9IHRhbWLvv71tIGRlY2xhcmEgcXVlIG8gZGVw77+9c2l0byBkZSBzdWEgcHVibGljYe+/ve+/vW8gbu+/vW8sIHF1ZSBzZWphIGRlIHNldSBjb25oZWNpbWVudG8sIGluZnJpbmdlIGRpcmVpdG9zIGF1dG9yYWlzIGRlIG5pbmd177+9bS4KCkNhc28gYSBzdWEgcHVibGljYe+/ve+/vW8gY29udGVuaGEgbWF0ZXJpYWwgcXVlIHZvY++/vSBu77+9byBwb3NzdWkgYSB0aXR1bGFyaWRhZGUgZG9zIGRpcmVpdG9zIGF1dG9yYWlzLCB2b2Pvv70gZGVjbGFyYSBxdWUgb2J0ZXZlIGEgcGVybWlzc++/vW8gaXJyZXN0cml0YSBkbyBkZXRlbnRvciBkb3MgZGlyZWl0b3MgYXV0b3JhaXMgcGFyYSBjb25jZWRlciBhbyBSZXBvc2l077+9cmlvIEluc3RpdHVjaW9uYWwgZGEgVUZNRyBvcyBkaXJlaXRvcyBhcHJlc2VudGFkb3MgbmVzdGEgbGljZW7vv71hLCBlIHF1ZSBlc3NlIG1hdGVyaWFsIGRlIHByb3ByaWVkYWRlIGRlIHRlcmNlaXJvcyBlc3Tvv70gY2xhcmFtZW50ZSBpZGVudGlmaWNhZG8gZSByZWNvbmhlY2lkbyBubyB0ZXh0byBvdSBubyBjb250Ze+/vWRvIGRhIHB1YmxpY2Hvv73vv71vIG9yYSBkZXBvc2l0YWRhLgoKQ0FTTyBBIFBVQkxJQ0Hvv73vv71PIE9SQSBERVBPU0lUQURBIFRFTkhBIFNJRE8gUkVTVUxUQURPIERFIFVNIFBBVFJPQ++/vU5JTyBPVSBBUE9JTyBERSBVTUEgQUfvv71OQ0lBIERFIEZPTUVOVE8gT1UgT1VUUk8gT1JHQU5JU01PLCBWT0Pvv70gREVDTEFSQSBRVUUgUkVTUEVJVE9VIFRPRE9TIEUgUVVBSVNRVUVSIERJUkVJVE9TIERFIFJFVklT77+9TyBDT01PIFRBTULvv71NIEFTIERFTUFJUyBPQlJJR0Hvv73vv71FUyBFWElHSURBUyBQT1IgQ09OVFJBVE8gT1UgQUNPUkRPLgoKTyBSZXBvc2l077+9cmlvIEluc3RpdHVjaW9uYWwgZGEgVUZNRyBzZSBjb21wcm9tZXRlIGEgaWRlbnRpZmljYXIgY2xhcmFtZW50ZSBvIHNldSBub21lKHMpIG91IG8ocykgbm9tZXMocykgZG8ocykgZGV0ZW50b3IoZXMpIGRvcyBkaXJlaXRvcyBhdXRvcmFpcyBkYSBwdWJsaWNh77+977+9bywgZSBu77+9byBmYXLvv70gcXVhbHF1ZXIgYWx0ZXJh77+977+9bywgYWzvv71tIGRhcXVlbGFzIGNvbmNlZGlkYXMgcG9yIGVzdGEgbGljZW7vv71hLgo=Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-04-04T21:52:07Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
title Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
spellingShingle Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
Maria Betânia de Freitas Marques
Solid thermal stability
Antimalarial drug
Kinetic triplet
Thermogravimetry
Multilayer perceptron network
Lumefantrina
Antimalárico
Cinética da decomposição térmica
title_short Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
title_full Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
title_fullStr Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
title_full_unstemmed Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
title_sort Kinetics of lumefantrine thermal decomposition employing isoconversional models and artificial neural network
author Maria Betânia de Freitas Marques
author_facet 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
author_role author
author2 Bárbara Caroline Rodrigues de Araújo
Christian Fernandes
Maria Irene Yoshida
Wagner da Nova Mussel
Rita de Cássia de Oliveira Sebastião
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv 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
dc.subject.por.fl_str_mv Solid thermal stability
Antimalarial drug
Kinetic triplet
Thermogravimetry
Multilayer perceptron network
topic Solid thermal stability
Antimalarial drug
Kinetic triplet
Thermogravimetry
Multilayer perceptron network
Lumefantrina
Antimalárico
Cinética da decomposição térmica
dc.subject.other.pt_BR.fl_str_mv Lumefantrina
Antimalárico
Cinética da decomposição térmica
description CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2022-04-04T21:52:07Z
dc.date.available.fl_str_mv 2022-04-04T21:52:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/40752
dc.identifier.doi.pt_BR.fl_str_mv 10.21577/0103-5053.20190211
dc.identifier.issn.pt_BR.fl_str_mv 0103-5053
identifier_str_mv 10.21577/0103-5053.20190211
0103-5053
url http://hdl.handle.net/1843/40752
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Journal of the Brazilian Chemical Society
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv FAR - DEPARTAMENTO DE ALIMENTOS
FAR - DEPARTAMENTO DE PRODUTOS FARMACÊUTICOS
ICX - DEPARTAMENTO DE QUÍMICA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/40752/1/License.txt
https://repositorio.ufmg.br/bitstream/1843/40752/2/Kinetics%20of%20Lumefantrine%20Thermal%20Decomposition%20Employing%20Isoconversional%20Models%20and%20Artificial%20Neural%20Network.pdf
bitstream.checksum.fl_str_mv fa505098d172de0bc8864fc1287ffe22
edb714e722a2776360bbef39b77489dd
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv
_version_ 1797971290545455104