Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions

The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2-level fractional factorial design with six cent...

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Main Authors:	Alam, Md. Zahangir, Abdul Karim, Mohamed Ismail, Hamisan, Ahmad Fadhlan, Jamal, Parveen, Chowdhury, Ahmed Jalal Khan
Format:	Conference or Workshop Item
Language:	English
Published:	2006
Subjects:	TA164 Bioengineering TA170 Environmental engineering TP Chemical technology TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/5836/ http://irep.iium.edu.my/5836/1/BPE26_-_Md_Zahangir.pdf

id	iium-5836
recordtype	eprints
spelling	iium-58362013-06-13T01:30:38Z http://irep.iium.edu.my/5836/ Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions Alam, Md. Zahangir Abdul Karim, Mohamed Ismail Hamisan, Ahmad Fadhlan Jamal, Parveen Chowdhury, Ahmed Jalal Khan TA164 Bioengineering TA170 Environmental engineering TP Chemical technology TP248.13 Biotechnology The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2-level fractional factorial design with six 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 (POME) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Statistical analysis showed that the optimum conditions were: temperature of 300C, substrate concentration of 2%, wheat flour concentration of 3%, pH of 4, inoculum of 3% and agitation of 200 rpm. Under these conditions, the model predicted the enzyme production to be about 14 FPU/ml. Analysis of variance (ANOVA) of the design showed a high coefficient of determination (R2)value of 0.99, thus ensuring a high satisfactory adjustment of the quadratic model with the experimental data. 2006-07-24 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5836/1/BPE26_-_Md_Zahangir.pdf Alam, Md. Zahangir and Abdul Karim, Mohamed Ismail and Hamisan, Ahmad Fadhlan and Jamal, Parveen and Chowdhury, Ahmed Jalal Khan (2006) Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions. In: 1st International Conference on Natural Resources Engineering & Technology, 24-25 July 2006, PutraJaya.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA164 Bioengineering TA170 Environmental engineering TP Chemical technology TP248.13 Biotechnology
spellingShingle	TA164 Bioengineering TA170 Environmental engineering TP Chemical technology TP248.13 Biotechnology Alam, Md. Zahangir Abdul Karim, Mohamed Ismail Hamisan, Ahmad Fadhlan Jamal, Parveen Chowdhury, Ahmed Jalal Khan Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
description	The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2-level fractional factorial design with six 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 (POME) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Statistical analysis showed that the optimum conditions were: temperature of 300C, substrate concentration of 2%, wheat flour concentration of 3%, pH of 4, inoculum of 3% and agitation of 200 rpm. Under these conditions, the model predicted the enzyme production to be about 14 FPU/ml. Analysis of variance (ANOVA) of the design showed a high coefficient of determination (R2)value of 0.99, thus ensuring a high satisfactory adjustment of the quadratic model with the experimental data.
format	Conference or Workshop Item
author	Alam, Md. Zahangir Abdul Karim, Mohamed Ismail Hamisan, Ahmad Fadhlan Jamal, Parveen Chowdhury, Ahmed Jalal Khan
author_facet	Alam, Md. Zahangir Abdul Karim, Mohamed Ismail Hamisan, Ahmad Fadhlan Jamal, Parveen Chowdhury, Ahmed Jalal Khan
author_sort	Alam, Md. Zahangir
title	Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
title_short	Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
title_full	Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
title_fullStr	Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
title_full_unstemmed	Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions
title_sort	liquid state bioconversion of palm oil mill effluent for cellulase production: statistical optimization of process conditions
publishDate	2006
url	http://irep.iium.edu.my/5836/ http://irep.iium.edu.my/5836/1/BPE26_-_Md_Zahangir.pdf
first_indexed	2023-09-18T20:14:37Z
last_indexed	2023-09-18T20:14:37Z
_version_	1777407704018452480

Liquid State Bioconversion of Palm Oil Mill Effluent for Cellulase Production: Statistical Optimization of Process Conditions

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