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Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/41758
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Campo DCValorIdioma
dc.creatorLuana Guedes Britopt_BR
dc.creatorGeovana Quixabeira Leitept_BR
dc.creatorFernanda Ílary Costa Duartept_BR
dc.creatorElissa Arantes Ostroskypt_BR
dc.creatorMarcio Ferraript_BR
dc.creatorAdley Antonini Neves de Limapt_BR
dc.creatorFernando Henrique Andrade Nogueirapt_BR
dc.creatorCícero Flávio Soares Aragãopt_BR
dc.creatorBárbara Darós de Lelis Ferreirapt_BR
dc.creatorMaria Betânia de Freitas Marquespt_BR
dc.creatorMaria Irene Yoshidapt_BR
dc.creatorWagner da Nova Musselpt_BR
dc.creatorRita de Cássia de Oliveira Sebastiãopt_BR
dc.creatorAna Paula Barreto Gomespt_BR
dc.date.accessioned2022-05-17T15:40:47Z-
dc.date.available2022-05-17T15:40:47Z-
dc.date.issued2019-
dc.citation.volume138pt_BR
dc.citation.spage3715pt_BR
dc.citation.epage3726pt_BR
dc.identifier.doi10.1007/s10973-019-08114-xpt_BR
dc.identifier.issn1388-6150pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/41758-
dc.description.resumoFerulic acid (FA) is a phenolic acid of plant kingdom presenting antioxidant activity, a fundamental pharmaceutical property. This property suggests FA can be used in cosmetic skin formulations as a photoprotective and anti-aging agent. The purpose of this work is to investigate the kinetics of FA thermal decomposition process in non-isothermic conditions applying Friedman, Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose methodologies and in isothermal conditions using a neural network. All these isoconversional results showed coherent values of apparent activation energy under nitrogen atmosphere. For the isothermal analysis, R2 model presented best performance to individually describe the data. However, the neural network assumed the decomposition as a combined event, in which ten models have contributions to describe experimental data. The DRX results showed the sample is not at steadier configuration and require a pre-treatment before the analysis by the non-isothermal experiments. From this, the sample was prepared with heat treatment up to 130 °C, and the determined activation energy showed reduction of 5 kJ mol−1. The isothermal analysis endorses activation energy about 40 kJ mol−1. These results proved the FA thermal decomposition is strongly influenced by experimental conditions.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFAR - DEPARTAMENTO DE ALIMENTOSpt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE QUÍMICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofJournal of Thermal Analysis and Calorimetrypt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectSolid thermal decompositionpt_BR
dc.subjectKineticspt_BR
dc.subjectFerulic acidpt_BR
dc.subjectThermogravimetrypt_BR
dc.subjectArtificial neural networkpt_BR
dc.subject.otherÁcido ferúlicopt_BR
dc.subject.otherRede neural artificialpt_BR
dc.subject.otherDecomposição térmicapt_BR
dc.titleThermal behavior of ferulic acid employing isoconversional models and artificial neural networkpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://link.springer.com/article/10.1007/s10973-019-08114-xpt_BR
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