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Optimization of sugarcane bagasse pretreatment using alkaline hydrogen peroxide through ANN and ANFIS modelling.
Rego, Artur S C; Valim, Isabelle C; Vieira, Anna A S; Vilani, Cecília; Santos, Brunno F.
Afiliação
  • Rego ASC; Department of Chemical and Materials Engineering (DEQM), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Valim IC; Department of Chemical and Materials Engineering (DEQM), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Vieira AAS; Department of Chemical and Materials Engineering (DEQM), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Vilani C; Department of Chemical and Materials Engineering (DEQM), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Santos BF; Department of Chemical and Materials Engineering (DEQM), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ 22451-900, Brazil. Electronic address: bsantos@puc-rio.br.
Bioresour Technol ; 267: 634-641, 2018 Nov.
Article em En | MEDLINE | ID: mdl-30059943
The present study compares the optimization using Artificial Neural Networks (ANN) and Adaptive Network-based Fuzzy Inference System (ANFIS) in the sugarcane bagasse delignification process using Alkaline Hydrogen Peroxide (AHP). Two variables were assessed experimentally: temperature (25-45 °C) and hydrogen peroxide concentration (1.5-7.5%(w/v)). The Klason Method was used to measure the amount of insoluble lignin, the High Performance Liquid Chromatography (HPLC) was used to determine the glucose and xylose concentrations and the Fourier Transform Infrared Spectroscopy (FT-IR) was applied to identify oxidized lignin structure in the samples. The analytical results were used for training and testing of ANN and ANFIS models. The statistical quality of the models was significant due to the low values of the errors indices (RMSE) and determination coefficient R2 between experimental and calculated values.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Celulose / Saccharum / Peróxido de Hidrogênio Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Celulose / Saccharum / Peróxido de Hidrogênio Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido