Influence of different cellulose/hemicellulose/lignin ratios on the thermal degradation behavior: prediction and optimization

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University for Latin American Integration (UNILA)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal University of Rio Grande Do Sul (UFRGS)-
Autor(es): dc.contributorUniversity of Caxias Do Sul (UCS)-
Autor(es): dc.creatorOrnaghi, Heitor Luiz-
Autor(es): dc.creatorMonticeli, Francisco M.-
Autor(es): dc.creatorNeves, Roberta Motta-
Autor(es): dc.creatorAgnol, Lucas Dall-
Autor(es): dc.creatorBianchi, Otavio-
Data de aceite: dc.date.accessioned2025-08-21T21:12:45Z-
Data de disponibilização: dc.date.available2025-08-21T21:12:45Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s13399-021-01651-2-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/229047-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/229047-
Descrição: dc.descriptionVegetal fibers can be applied in several areas, from the medical field to the development of new advanced materials. They have a complex chemical structure including cellulose, hemicellulose, and lignin. Each component plays a different role in the thermal degradation. Apart from it, this study aims to simulate and predict different ratios of cellulose/hemicellulose/lignin in the thermal degradation behavior of a vegetal fiber. This study was divided into two distinct parts: (i) firstly, the thermogravimetric curves (TG) were simulated based on their chemical composition to verify the influence of each component ratio in the degradation behavior. Briefly, 100% hemicellulose sample showed the lowest Tonset, 100% lignin sample showed the highest residue, and 100% cellulose sample showed the lowest residue at 600 °C among all samples studied. (ii) Secondly, a prediction of the thermal behavior for any combination of cellulose, hemicellulose, and lignin was performed by using an artificial neural network (ANN) combined with a surface response methodology (SRM). The prediction curves presented high reliability with the experimental fit, which allowed the thermal degradation behavior prediction of a vegetal fiber with any cellulose, hemicellulose, and lignin ratio. Graphical abstract: [Figure not available: see fulltext.].-
Descrição: dc.descriptionFederal University for Latin American Integration (UNILA), Foz do Iguaçu-
Descrição: dc.descriptionDepartment of Materials and Technology School of Engineering São Paulo State University (Unesp), Guaratinguetá-
Descrição: dc.descriptionMetallurgical and Materials Engineering Postgraduate Program in Mining Federal University of Rio Grande Do Sul (UFRGS)-
Descrição: dc.descriptionPostgraduate Program in Materials Science and Engineering (PGMAT) University of Caxias Do Sul (UCS)-
Descrição: dc.descriptionDepartment of Materials Engineering (DEMAT) Federal University of Rio Grande Do Sul (UFRGS)-
Descrição: dc.descriptionDepartment of Materials and Technology School of Engineering São Paulo State University (Unesp), Guaratinguetá-
Idioma: dc.languageen-
Relação: dc.relationBiomass Conversion and Biorefinery-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial neural network-
Palavras-chave: dc.subjectCellulose/hemicellulose/lignin-
Palavras-chave: dc.subjectSurface response methodology-
Palavras-chave: dc.subjectThermal behavior-
Palavras-chave: dc.subjectThermal degradation-
Título: dc.titleInfluence of different cellulose/hemicellulose/lignin ratios on the thermal degradation behavior: prediction and optimization-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.