Please use this identifier to cite or link to this item:
Type: Artigo
Title: Kinetic insights into the lignocellulosic biomass-based levulinic acid production by a mechanistic model
Author: Lopes, Emilia Savioli
Rivera, Elmer Ccopa
de Jesus Gariboti, Julio Cesar
Zimmermann Feistel, Luis Henrique
Dutra, Joao Vitor
Maciel Filho, Rubens
Tovar, Laura Plazas
Abstract: In this work, a mechanistic model was developed to simulate the kinetics of the production of levulinic acid (LA) from sugarcane bagasse (SCB), rice husk (RH) and soybean straw (SS). The production of LA from those agro-industrial wastes followed the methodology of biorefining in three stages. Experimental data from the third stage (catalytic depolymerization of cellulose) obtained under a wide range of operating conditions were used to estimate the parameters of the model. An optimization procedure based on a genetic algorithm was used to determine the optimal parameter values. The prediction of the concentrations of glucose, 5-HMF and LA using the mechanistic model was particularly accurate, as demonstrated by R2 and RMSE. Thereby, a satisfactory concordance was reached between the high yields of LA of 61.1 mol%, 67.7 mol% and 61.4 mol% calculated by the model, and the experimental yields of 60.5 ± 2.1 mol%, 65.2 ± 2.9 mol% and 61.5 ± 4.0 mol% (under optimum conditions of 190 °C, 7.0% w/v of H2SO4, 75 min) for SCB, RH and SS, respectively. The biorefining of the agro-industrial wastes under optimum operating conditions allowed a satisfactory catalytic depolymerization of cellulose, regardless of the degree of crystallinity. The estimation of yields led to suggesting a strategy from the point of view of process synthesis and design, integrating SCB, RH and SS to supply their off-season and, thus, to ensure the supply of raw materials in the production of LA
Subject: Ácidos levulínicos
Country: Países Baixos
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/s10570-020-03183-w
Date Issue: 2020
Appears in Collections:FEQ - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
000531770300003.pdf1.63 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.