Abstract
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.
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The authors acknowledge Brazilian Agency Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Brazil)—(Finance Code 001) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP).
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Ornaghi, H.L., Monticeli, F.M., Neves, R.M. et al. Influence of different cellulose/hemicellulose/lignin ratios on the thermal degradation behavior: prediction and optimization. Biomass Conv. Bioref. 13, 7775–7782 (2023). https://doi.org/10.1007/s13399-021-01651-2
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DOI: https://doi.org/10.1007/s13399-021-01651-2