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 centr...

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Main Authors: Alam, Md. Zahangir, Abd. Karim, M. Ismail, Hamisan, Ahmad Fadhlan, Jamal, Parveen, Jalal, K.C.A.
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/234/1/MdZahangirAlam2006_Liquidstatebioconversionofpalm.pdf
http://eprints.utm.my/id/eprint/234/
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spelling my.utm.2342017-08-23T07:08:48Z http://eprints.utm.my/id/eprint/234/ Liquid state bioconversion of palm oil mill effluent for cellulase production: statistical optimization of process conditions Alam, Md. Zahangir Abd. Karim, M. Ismail Hamisan, Ahmad Fadhlan Jamal, Parveen Jalal, K.C.A. TP Chemical technology 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 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/234/1/MdZahangirAlam2006_Liquidstatebioconversionofpalm.pdf Alam, Md. Zahangir and Abd. Karim, M. Ismail and Hamisan, Ahmad Fadhlan and Jamal, Parveen and Jalal, K.C.A. (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 2006, 24-25th July 2006, Putrajaya, Malaysia.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Alam, Md. Zahangir
Abd. Karim, M. Ismail
Hamisan, Ahmad Fadhlan
Jamal, Parveen
Jalal, K.C.A.
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
Abd. Karim, M. Ismail
Hamisan, Ahmad Fadhlan
Jamal, Parveen
Jalal, K.C.A.
author_facet Alam, Md. Zahangir
Abd. Karim, M. Ismail
Hamisan, Ahmad Fadhlan
Jamal, Parveen
Jalal, K.C.A.
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://eprints.utm.my/id/eprint/234/1/MdZahangirAlam2006_Liquidstatebioconversionofpalm.pdf
http://eprints.utm.my/id/eprint/234/
_version_ 1643643049272672256
score 13.188404