Thermal behavior of ferulic acid employing isoconversional models and artificial neural network

Página do item simplificado
dc.creatorLuana Guedes Brito
dc.creatorGeovana Quixabeira Leite
dc.creatorFernanda Ílary Costa Duarte
dc.creatorElissa Arantes Ostrosky
dc.creatorMarcio Ferrari
dc.creatorAdley Antonini Neves de Lima
dc.creatorFernando Henrique Andrade Nogueira
dc.creatorCícero Flávio Soares Aragão
dc.creatorBárbara Darós de Lelis Ferreira
dc.creatorMaria Betânia de Freitas Marques
dc.creatorMaria Irene Yoshida
dc.creatorWagner da Nova Mussel
dc.creatorRita de Cássia de Oliveira Sebastião
dc.creatorAna Paula Barreto Gomes
dc.date.accessioned2022-05-17T15:40:47Z
dc.date.accessioned2025-09-09T00:21:22Z
dc.date.available2022-05-17T15:40:47Z
dc.date.issued2019
dc.identifier.doi10.1007/s10973-019-08114-x
dc.identifier.issn1388-6150
dc.identifier.urihttps://hdl.handle.net/1843/41758
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Thermal Analysis and Calorimetry
dc.rightsAcesso Restrito
dc.subjectÁcido ferúlico
dc.subjectRede neural artificial
dc.subjectDecomposição térmica
dc.subject.otherSolid thermal decomposition
dc.subject.otherKinetics
dc.subject.otherFerulic acid
dc.subject.otherThermogravimetry
dc.subject.otherArtificial neural network
dc.titleThermal behavior of ferulic acid employing isoconversional models and artificial neural network
dc.typeArtigo de periódico
local.citation.epage3726
local.citation.spage3715
local.citation.volume138
local.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.
local.publisher.countryBrasil
local.publisher.departmentFAR - DEPARTAMENTO DE ALIMENTOS
local.publisher.departmentICX - DEPARTAMENTO DE QUÍMICA
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/article/10.1007/s10973-019-08114-x

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG