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

• Autor(a) principal: Ornaghi, Heitor Luiz
• Data de Publicação: 2021
• Outros Autores: Monticeli, Francisco M. [UNESP], Neves, Roberta Motta, Agnol, Lucas Dall, Bianchi, Otavio
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1007/s13399-021-01651-2; http://hdl.handle.net/11449/229047
• topic: Artificial neural network; Cellulose/hemicellulose/lignin; Surface response methodology; Thermal behavior; Thermal degradation

Vegetal 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.].