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Type:	Artigo de Periódico
Title:	Thermal behavior of ferulic acid employing isoconversional models and artificial neural network
Authors:	Luana Guedes Brito Geovana Quixabeira Leite Fernanda Ílary Costa Duarte Elissa Arantes Ostrosky Marcio Ferrari Adley Antonini Neves de Lima Fernando Henrique Andrade Nogueira Cícero Flávio Soares Aragão Bárbara Darós de Lelis Ferreira Maria Betânia de Freitas Marques Maria Irene Yoshida Wagner da Nova Mussel Rita de Cássia de Oliveira Sebastião Ana Paula Barreto Gomes
Abstract:	Ferulic 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.
Subject:	Ácido ferúlico Rede neural artificial 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 ICX - DEPARTAMENTO DE QUÍMICA
Rights:	Acesso Restrito
metadata.dc.identifier.doi:	10.1007/s10973-019-08114-x
URI:	http://hdl.handle.net/1843/41758
Issue Date:	2019
metadata.dc.url.externa:	https://link.springer.com/article/10.1007/s10973-019-08114-x
metadata.dc.relation.ispartof:	Journal of Thermal Analysis and Calorimetry
Appears in Collections:	Artigo de Periódico

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