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Published in: Biomass Conversion and Biorefinery 1/2018

10-02-2017 | Original Article

An optimisation study on biomass delignification process using alkaline wash

Authors: Ashraf Zin Zawawi, Law Poh Gaik, Noor Haida Sebran, Jofry Othman, Azlan Shah Hussain

Published in: Biomass Conversion and Biorefinery | Issue 1/2018

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Abstract

A statistical based study employing response surface method (RSM) was conducted to ascertain the optimum pretreatment conditions using an alkaline wash technique i.e. at different temperature, time and base concentration using Malaysian oil palm empty fruit bunches (EFB) as a model substrate. Strong acid-dilute acid hydrolysis and dietary fibre methods were used in order to determine structural carbohydrates and lignin content of pretreated EFB and analysed using one-way analysis of variance (ANOVA). Based on the RSM model, 17 runs of different pretreatment conditions were carried out. ANOVA analysis on the different techniques yielded an F value of 5.32 leading to the rejection of null hypothesis. As such, both techniques were determined to be statistically different. Response surface model with quadratic function was generated for biomass pretreatment using alkaline wash which has indicated that sodium hydroxide concentration is the most important factor in determining lignin removal, followed by time of reaction. The final lignin content of pretreated biomass shall be 9.04 wt.% which is 62.7% of lignin removal.

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Metadata
Title
An optimisation study on biomass delignification process using alkaline wash
Authors
Ashraf Zin Zawawi
Law Poh Gaik
Noor Haida Sebran
Jofry Othman
Azlan Shah Hussain
Publication date
10-02-2017
Publisher
Springer Berlin Heidelberg
Published in
Biomass Conversion and Biorefinery / Issue 1/2018
Print ISSN: 2190-6815
Electronic ISSN: 2190-6823
DOI
https://doi.org/10.1007/s13399-017-0246-x

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