Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge

Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge

A lab-scale study was carried to identify the physicochemical factors of liquid state bioconversion for maximum lignin peroxidase (LiP) enzyme production. The white-rot fungus Phanerocheate chrysosporium collected from the lab stock at IIUM was used LiP production throughout the study. Statistical o...

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Main Authors: Alam, Md. Zahangir, Muyibi, Suleyman Aremu, Jamal, Parveen, Rahman, N A
Format: Conference or Workshop Item
Language:English
English
English
Published: 2005
Subjects:
TP Chemical technology
TP248.13 Biotechnology
Online Access:http://irep.iium.edu.my/5828/
http://irep.iium.edu.my/5828/1/Full-text-sabah-BPE-10.pdf
http://irep.iium.edu.my/5828/4/BPE-10.pdf
http://irep.iium.edu.my/5828/5/SOMCHE_2005_Lignin_peroxidase_abstract.pdf
id iium-5828
recordtype eprints
spelling iium-58282013-06-25T11:05:07Z http://irep.iium.edu.my/5828/ Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge Alam, Md. Zahangir Muyibi, Suleyman Aremu Jamal, Parveen Rahman, N A TP Chemical technology TP248.13 Biotechnology A lab-scale study was carried to identify the physicochemical factors of liquid state bioconversion for maximum lignin peroxidase (LiP) enzyme production. The white-rot fungus Phanerocheate chrysosporium collected from the lab stock at IIUM was used LiP production throughout the study. Statistical optimization was carried out to evaluate the physicochemical parameters (factors) through enzyme production by 2-level fractional factorial design with four central points. The polynomial regression model was developed using the experimental data including the effects of linear, quadratic and interaction of the factors. The factors involved were substrate (sludge) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Statistical analysis showed that the optimum conditions were: substrate concentration of 1%, wheat flour concentration of 3%, pH of 4, inoculum of 3% and agitation of 100 rpm. Under these conditions, the model predicted the enzyme production to be 833.9 U/L. Analysis of variance (ANOVA) of the design showed a high coefficient of determination (R2) value of 0.94, thus ensuring a satisfactory adjustment of the quadratic model with the experimental data. 2005-12-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5828/1/Full-text-sabah-BPE-10.pdf application/pdf en http://irep.iium.edu.my/5828/4/BPE-10.pdf application/pdf en http://irep.iium.edu.my/5828/5/SOMCHE_2005_Lignin_peroxidase_abstract.pdf Alam, Md. Zahangir and Muyibi, Suleyman Aremu and Jamal, Parveen and Rahman, N A (2005) Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge. In: 2nd International Conference on Chemical and Bioprocess Engineering (ICCBpE-SOMChE 2005), 8-10 Dec 2005, Kota Kinabalu, Sabah.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
topic TP Chemical technology
TP248.13 Biotechnology
spellingShingle TP Chemical technology
TP248.13 Biotechnology
Alam, Md. Zahangir
Muyibi, Suleyman Aremu
Jamal, Parveen
Rahman, N A
Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
description A lab-scale study was carried to identify the physicochemical factors of liquid state bioconversion for maximum lignin peroxidase (LiP) enzyme production. The white-rot fungus Phanerocheate chrysosporium collected from the lab stock at IIUM was used LiP production throughout the study. Statistical optimization was carried out to evaluate the physicochemical parameters (factors) through enzyme production by 2-level fractional factorial design with four central points. The polynomial regression model was developed using the experimental data including the effects of linear, quadratic and interaction of the factors. The factors involved were substrate (sludge) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Statistical analysis showed that the optimum conditions were: substrate concentration of 1%, wheat flour concentration of 3%, pH of 4, inoculum of 3% and agitation of 100 rpm. Under these conditions, the model predicted the enzyme production to be 833.9 U/L. Analysis of variance (ANOVA) of the design showed a high coefficient of determination (R2) value of 0.94, thus ensuring a satisfactory adjustment of the quadratic model with the experimental data.
format Conference or Workshop Item
author Alam, Md. Zahangir
Muyibi, Suleyman Aremu
Jamal, Parveen
Rahman, N A
author_facet Alam, Md. Zahangir
Muyibi, Suleyman Aremu
Jamal, Parveen
Rahman, N A
author_sort Alam, Md. Zahangir
title Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
title_short Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
title_full Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
title_fullStr Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
title_full_unstemmed Optimization of physicochemical factors for Lignin Peroxidase Enzyme Production utilizing domestic wastewater sludge
title_sort optimization of physicochemical factors for lignin peroxidase enzyme production utilizing domestic wastewater sludge
publishDate 2005
url http://irep.iium.edu.my/5828/
http://irep.iium.edu.my/5828/1/Full-text-sabah-BPE-10.pdf
http://irep.iium.edu.my/5828/4/BPE-10.pdf
http://irep.iium.edu.my/5828/5/SOMCHE_2005_Lignin_peroxidase_abstract.pdf
first_indexed 2023-09-18T20:14:36Z
last_indexed 2023-09-18T20:14:36Z
_version_ 1777407703717511168

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