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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Study of kinetic parameters in a mechanistic model for enzymatic hydrolysis of sugarcane bagasse subjected to different pretreatments

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Autor(es):
Neto, Joao Moreira [1] ; Garcia, Daniella dos Reis [1] ; Gomez Rueda, Sandra Marcela [1] ; da Costa, Aline Carvalho [1]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Sch Chem Engn, Lab Fermentat & Enzymat Proc Engn, BR-13083970 Campinas, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: Bioprocess and Biosystems Engineering; v. 36, n. 11, p. 1579-1590, NOV 2013.
Citações Web of Science: 10
Resumo

The goal of this work is to evaluate the influence of different pretreatments in the kinetics of enzymatic hydrolysis of sugarcane bagasse and to propose a reliable methodology to easily perform sensitivity analysis and updating kinetic parameters whenever necessary. A kinetic model was modified to represent the experimental data of the batch enzymatic hydrolysis of sugarcane bagasse pretreated with alkaline hydrogen peroxide. The simultaneous estimation of kinetic parameters of the mathematical model was performed using the Pikaia genetic algorithm using batch hydrolysis experimental data obtained with different enzymatic loads. Subsequently, Plackett-Burman designs were used to identify the kinetic parameters with the higher influence on the dynamic behavior of the process variables, which were re-estimated to describe experimental data of the hydrolysis of bagasse pretreated with phosphoric acid + sodium hydroxide. The methodology was accurate and straightforward and can be used whenever there are changes in pretreatment conditions and/or fluctuations in biomass composition in different harvests. (AU)

Processo FAPESP: 09/02424-7 - Modelagem matemática do processo de hidrólise enzimática do bagaço de cana-de-açúcar submetido a diferentes pré-tratamentos
Beneficiário:João Moreira Neto
Linha de fomento: Bolsas no Brasil - Mestrado