Laccase as Bio-Pretreatment Step of Sawdust for Ethanol Production: Optimization and Statistical Modeling
For a successful refining of lignocellulosic biomass in production of bioethanol, it needs a delignification step to increase production of sugar. In this study, we use Laccase enzyme (as environment-friendly pretreatment) to pretreat sawdust and evaluate the degree of delignification after pretreat...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Universiti Malaysia Pahang
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/17622/1/19.%20Laccase%20as%20bio-pretreatment%20step%20of%20sawdust%20for%20ethanol%20production%20-%20%20optimization%20and%20statistical%20modeling.pdf http://umpir.ump.edu.my/id/eprint/17622/ http://fgic.ump.edu.my/images/docman/1st-FGIC-Proceedings.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ump.umpir.17622 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.176222018-01-24T07:38:11Z http://umpir.ump.edu.my/id/eprint/17622/ Laccase as Bio-Pretreatment Step of Sawdust for Ethanol Production: Optimization and Statistical Modeling Hashabra, Amani M. Makky, Essam A. Rashid, Shah Samiur TD Environmental technology. Sanitary engineering For a successful refining of lignocellulosic biomass in production of bioethanol, it needs a delignification step to increase production of sugar. In this study, we use Laccase enzyme (as environment-friendly pretreatment) to pretreat sawdust and evaluate the degree of delignification after pretreatment in terms of weight loss percentage (%) and Total sugar produced (mg/dL). The parameters used in the optimization process was temperature (oC), pH, time of pretreatment (hrs), enzyme concentration (IU/g), substrate concentration (%), substrate size (mm) and speed of agitation (RPM). In order to achieve best condition of pretreatment, first, we use the one-factor-at-a-time (OFAT) analysis to see the significance of parameters then the Face-Centered Central Composite Design (FCCCD) of Response Surface Methodology (RSM) is used to study the combined effect of temperature and pH parameters. Our experimental results show that optimized conditions for sawdust pretreatment are: temperature, 35oC; pH 5; time, 10 hrs; enzyme concentration, 20 IU/g of sawdust; substrate concentration, 5% (w/v); sample size, 1 mm and Agitation, 150 rpm. The experiments also show a high pretreatment result considering energy sustainability which can be achieved by using sample Size of 2 mm, temperature of 25 °C and 4 hrs. Universiti Malaysia Pahang 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17622/1/19.%20Laccase%20as%20bio-pretreatment%20step%20of%20sawdust%20for%20ethanol%20production%20-%20%20optimization%20and%20statistical%20modeling.pdf Hashabra, Amani M. and Makky, Essam A. and Rashid, Shah Samiur (2017) Laccase as Bio-Pretreatment Step of Sawdust for Ethanol Production: Optimization and Statistical Modeling. In: Proceedings of the FGIC 1st Conference on Governance & Integrity, 3-4 April 2017 , Yayasan Pahang, Kuantan, Malaysia. pp. 355-369.. ISBN 978-967-2054-37-5 http://fgic.ump.edu.my/images/docman/1st-FGIC-Proceedings.pdf |
institution |
Universiti Malaysia Pahang |
building |
UMP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang |
content_source |
UMP Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
language |
English |
topic |
TD Environmental technology. Sanitary engineering |
spellingShingle |
TD Environmental technology. Sanitary engineering Hashabra, Amani M. Makky, Essam A. Rashid, Shah Samiur Laccase as Bio-Pretreatment Step of Sawdust for Ethanol Production: Optimization and Statistical Modeling |
description |
For a successful refining of lignocellulosic biomass in production of bioethanol, it needs a delignification step to increase production of sugar. In this study, we use Laccase enzyme (as environment-friendly pretreatment) to pretreat sawdust and evaluate the degree of delignification after pretreatment in terms of weight loss percentage (%) and Total sugar produced (mg/dL). The parameters used in the optimization process was temperature (oC), pH, time of pretreatment (hrs), enzyme concentration (IU/g), substrate concentration (%), substrate size (mm) and speed of agitation (RPM). In order to achieve best condition of pretreatment,
first, we use the one-factor-at-a-time (OFAT) analysis to see the significance of parameters then the Face-Centered Central Composite Design (FCCCD) of Response Surface
Methodology (RSM) is used to study the combined effect of temperature and pH parameters. Our experimental results show that optimized conditions for sawdust pretreatment are: temperature, 35oC; pH 5; time, 10 hrs; enzyme concentration, 20 IU/g of sawdust; substrate concentration, 5% (w/v); sample size, 1 mm and Agitation, 150 rpm. The experiments also show a high pretreatment result considering energy sustainability which can be achieved by using sample Size of 2 mm, temperature of 25 °C and 4 hrs. |
format |
Conference or Workshop Item |
author |
Hashabra, Amani M. Makky, Essam A. Rashid, Shah Samiur |
author_facet |
Hashabra, Amani M. Makky, Essam A. Rashid, Shah Samiur |
author_sort |
Hashabra, Amani M. |
title |
Laccase as Bio-Pretreatment Step of Sawdust for Ethanol
Production: Optimization and Statistical Modeling |
title_short |
Laccase as Bio-Pretreatment Step of Sawdust for Ethanol
Production: Optimization and Statistical Modeling |
title_full |
Laccase as Bio-Pretreatment Step of Sawdust for Ethanol
Production: Optimization and Statistical Modeling |
title_fullStr |
Laccase as Bio-Pretreatment Step of Sawdust for Ethanol
Production: Optimization and Statistical Modeling |
title_full_unstemmed |
Laccase as Bio-Pretreatment Step of Sawdust for Ethanol
Production: Optimization and Statistical Modeling |
title_sort |
laccase as bio-pretreatment step of sawdust for ethanol
production: optimization and statistical modeling |
publisher |
Universiti Malaysia Pahang |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/17622/1/19.%20Laccase%20as%20bio-pretreatment%20step%20of%20sawdust%20for%20ethanol%20production%20-%20%20optimization%20and%20statistical%20modeling.pdf http://umpir.ump.edu.my/id/eprint/17622/ http://fgic.ump.edu.my/images/docman/1st-FGIC-Proceedings.pdf |
_version_ |
1643668231220625408 |
score |
13.214268 |