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Pretreatment of Leucaena leucocephala wood by acidified glycerol: optimization, severity index and correlation analysis.
Singhal, Anjali; Kumar, Madan; Bhattacharya, Mallika; Kumari, Neeta; Jha, Pawan Kumar; Chauhan, Devendra Kumar; Thakur, Indu Shekhar.
Afiliación
  • Singhal A; Department of Botany, University of Allahabad, Allahabad 211002, India.
  • Kumar M; School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, India.
  • Bhattacharya M; School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, India.
  • Kumari N; Civil & Environmental Engineering, Birla Institute of Technology, Ranchi 835215, India. Electronic address: neetak@bitmesra.ac.in.
  • Jha PK; Centre of Environmental Studies, University of Allahabad, Allahabad 211002, India.
  • Chauhan DK; Department of Botany, University of Allahabad, Allahabad 211002, India.
  • Thakur IS; School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, India. Electronic address: isthakur@hotmail.com.
Bioresour Technol ; 265: 214-223, 2018 Oct.
Article en En | MEDLINE | ID: mdl-29902654
In this study, Leucaena leucocephala wood was pretreated with aqueous glycerol having H2SO4 as the catalyst. Response surface methodology (RSM) and artificial neural network (ANN) were used to optimize the process parameters, catalyst concentration (1-3%), duration (120-300 min) and temperature (100-150 °C). ANN gave more accurate predictions for total reducing sugar yield than RSM. ANN also had lower values for error functions. Severity index (SI) was calculated based on the temperature, duration and catalyst concentration. Increase in SI from 0.21 * 103 to 2.06 * 103 increased total reducing sugar (TRS) production from 39.97 g/kg to 321.8 g/kg. Further increase in SI reduced the TRS and this change positively correlates with the loss of cellulose content. Correlation analysis showed that severity index can also be used to describe pretreatment process.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Madera / Celulosa / Glicerol Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2018 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Madera / Celulosa / Glicerol Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2018 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido