Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme
Laccase enzyme was used as a pretreatment agent to delignify empty fruit bunches (EFB) for sugar production. The degree of delignification of the biomass was assessed directly by the percentage of pre-pretreatment weight loss (%) after pretreatment and indirectly by the amount of total sugar produce...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BioResources
2016
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/16964/ http://umpir.ump.edu.my/id/eprint/16964/ http://umpir.ump.edu.my/id/eprint/16964/1/2016-4424.pdf |
id |
ump-16964 |
---|---|
recordtype |
eprints |
spelling |
ump-169642019-08-28T07:04:19Z http://umpir.ump.edu.my/id/eprint/16964/ Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme Ishmael, Ukaegbu Chinonso Rashid, Shah Samiur Jaya Vejayan, Palliah Mohd Fazli, Farida Asras Sharifah Suhaiza, Nik Wan Ahmad Ayodele, Bamidele V. TP Chemical technology Laccase enzyme was used as a pretreatment agent to delignify empty fruit bunches (EFB) for sugar production. The degree of delignification of the biomass was assessed directly by the percentage of pre-pretreatment weight loss (%) after pretreatment and indirectly by the amount of total sugar produced after saccharification of the pretreated biomass with cellulase enzymes. Process parameters such as pretreatment time, temperature, enzyme concentration, substrate concentration, pH, and substrate size were studied using a one-factor-at-a-time (OFAT) analysis. The combined effect of temperature and pH on the pretreatment was studied using the face-centered central composite design (FCCCD) of response surface methodology (RSM). The optimized conditions for EFB pretreatment using laccase enzyme were achieved as follows: sample size, 2 mm; temperature, 25 °C; time, 4 h; substrate concentration, 5% (w/v); pH 5; and enzyme concentration, 20 IU/g of EFB. Although higher pretreatment was achieved with substrates of 1 mm size and at a temperature of 35 °C, these conditions were not considered energetically sustainable because of the need for energy during milling for sample size reduction and energy for temperature maintenance at 35 °C. BioResources 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16964/1/2016-4424.pdf Ishmael, Ukaegbu Chinonso and Rashid, Shah Samiur and Jaya Vejayan, Palliah and Mohd Fazli, Farida Asras and Sharifah Suhaiza, Nik Wan Ahmad and Ayodele, Bamidele V. (2016) Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme. BioResources , 11 (2). pp. 5013-5032. ISSN 1930-2126 http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_2_5013_Ishmael_Modeling_Optimization_Enzymatic_Pretreatment |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TP Chemical technology |
spellingShingle |
TP Chemical technology Ishmael, Ukaegbu Chinonso Rashid, Shah Samiur Jaya Vejayan, Palliah Mohd Fazli, Farida Asras Sharifah Suhaiza, Nik Wan Ahmad Ayodele, Bamidele V. Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
description |
Laccase enzyme was used as a pretreatment agent to delignify empty fruit bunches (EFB) for sugar production. The degree of delignification of the biomass was assessed directly by the percentage of pre-pretreatment weight loss (%) after pretreatment and indirectly by the amount of total sugar produced after saccharification of the pretreated biomass with cellulase enzymes. Process parameters such as pretreatment time, temperature, enzyme concentration, substrate concentration, pH, and substrate size were studied using a one-factor-at-a-time (OFAT) analysis. The combined effect of temperature and pH on the pretreatment was studied using the face-centered central composite design (FCCCD) of response surface methodology (RSM). The optimized conditions for EFB pretreatment using laccase enzyme were achieved as follows: sample size, 2 mm; temperature, 25 °C; time, 4 h; substrate concentration, 5% (w/v); pH 5; and enzyme concentration, 20 IU/g of EFB. Although higher pretreatment was achieved with substrates of 1 mm size and at a temperature of 35 °C, these conditions were not considered energetically sustainable because of the need for energy during milling for sample size reduction and energy for temperature maintenance at 35 °C. |
format |
Article |
author |
Ishmael, Ukaegbu Chinonso Rashid, Shah Samiur Jaya Vejayan, Palliah Mohd Fazli, Farida Asras Sharifah Suhaiza, Nik Wan Ahmad Ayodele, Bamidele V. |
author_facet |
Ishmael, Ukaegbu Chinonso Rashid, Shah Samiur Jaya Vejayan, Palliah Mohd Fazli, Farida Asras Sharifah Suhaiza, Nik Wan Ahmad Ayodele, Bamidele V. |
author_sort |
Ishmael, Ukaegbu Chinonso |
title |
Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
title_short |
Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
title_full |
Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
title_fullStr |
Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
title_full_unstemmed |
Statistical Modeling and Optimization of Enzymatic Pretreatment of Empty Fruit Bunches with Laccase Enzyme |
title_sort |
statistical modeling and optimization of enzymatic pretreatment of empty fruit bunches with laccase enzyme |
publisher |
BioResources |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/16964/ http://umpir.ump.edu.my/id/eprint/16964/ http://umpir.ump.edu.my/id/eprint/16964/1/2016-4424.pdf |
first_indexed |
2023-09-18T22:23:05Z |
last_indexed |
2023-09-18T22:23:05Z |
_version_ |
1777415787254906880 |