Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production

The production of bioethanol was conducted by utilizing domestic wastewater sludge as major substrate with the aid of yeast, Saccharomyces cerevisiae using liquid state bioconversion method (submerged fermentation). The optimi-zation of process conditions such as temperature, initial pH, inoculum do...

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Main Authors: Alam, Md. Zahangir, Kabbashi, Nassereldeen Ahmed, Razak, A.A.
Format: Proceeding Paper
Language:English
Published: 2006
Subjects:
Online Access:http://irep.iium.edu.my/5840/
http://irep.iium.edu.my/5840/4/Statistical_Optimization_of_Process_Condition_for_Direct_Bioconversion_of_Sewage_Treatment_Plant_Sludge_for_Bioethanol_Production.pdf
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author Alam, Md. Zahangir
Kabbashi, Nassereldeen Ahmed
Razak, A.A.
author_facet Alam, Md. Zahangir
Kabbashi, Nassereldeen Ahmed
Razak, A.A.
author_sort Alam, Md. Zahangir
building IIUM Repository
collection Online Access
description The production of bioethanol was conducted by utilizing domestic wastewater sludge as major substrate with the aid of yeast, Saccharomyces cerevisiae using liquid state bioconversion method (submerged fermentation). The optimi-zation of process conditions such as temperature, initial pH, inoculum dosage and agitation was carried out by using the central composite design (CCD) formulated by a statistical optimization software MINITAB. Optimization of process conditions was done with different ranges of temperature, pH, inoculum sizes and agitations with fixed media compositions obtained from previous study. A polynomial regression model was developed to determine the optimum compositions. Sever-al techniques such ANOVA, t-test, p-values were observed to evaluate the model as well as the optimization process. The maximum ethanol production (9.1% v/v) was found while model equation predicted ethanol production with 11.9% v/v using the optimum conditions: temperature of 330C, pH of 7, agitation of 200 rpm and inoculum of 1%. The results indicat-ed that the temperature was highly significant (p<0.01) fol-lowed by the pH (p<0.01), inoculum (p<0.05) and agitation rate (p<0.05). The coefficient of determination (R2) was 90.1% which satisfied the adjustment of experimental data in the model.
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format Proceeding Paper
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institution International Islamic University Malaysia
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language English
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spelling iium-58402024-12-24T07:35:07Z http://irep.iium.edu.my/5840/ Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production Alam, Md. Zahangir Kabbashi, Nassereldeen Ahmed Razak, A.A. TP Chemical technology TP248.13 Biotechnology The production of bioethanol was conducted by utilizing domestic wastewater sludge as major substrate with the aid of yeast, Saccharomyces cerevisiae using liquid state bioconversion method (submerged fermentation). The optimi-zation of process conditions such as temperature, initial pH, inoculum dosage and agitation was carried out by using the central composite design (CCD) formulated by a statistical optimization software MINITAB. Optimization of process conditions was done with different ranges of temperature, pH, inoculum sizes and agitations with fixed media compositions obtained from previous study. A polynomial regression model was developed to determine the optimum compositions. Sever-al techniques such ANOVA, t-test, p-values were observed to evaluate the model as well as the optimization process. The maximum ethanol production (9.1% v/v) was found while model equation predicted ethanol production with 11.9% v/v using the optimum conditions: temperature of 330C, pH of 7, agitation of 200 rpm and inoculum of 1%. The results indicat-ed that the temperature was highly significant (p<0.01) fol-lowed by the pH (p<0.01), inoculum (p<0.05) and agitation rate (p<0.05). The coefficient of determination (R2) was 90.1% which satisfied the adjustment of experimental data in the model. 2006-04-28 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5840/4/Statistical_Optimization_of_Process_Condition_for_Direct_Bioconversion_of_Sewage_Treatment_Plant_Sludge_for_Bioethanol_Production.pdf Alam, Md. Zahangir and Kabbashi, Nassereldeen Ahmed and Razak, A.A. (2006) Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production. In: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 11-14 December, 2006, Palace of the Golden Horses, Malaysia. http://download.springer.com/static/pdf/968/bfm%253A978-3-540-68017-8%252F1.pdf?auth66=1415433369_5380d0ec74b10f617090dc43e25256d1&ext=.pdf
spellingShingle TP Chemical technology
TP248.13 Biotechnology
Alam, Md. Zahangir
Kabbashi, Nassereldeen Ahmed
Razak, A.A.
Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title_full Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title_fullStr Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title_full_unstemmed Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title_short Statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
title_sort statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
topic TP Chemical technology
TP248.13 Biotechnology
url http://irep.iium.edu.my/5840/
http://irep.iium.edu.my/5840/
http://irep.iium.edu.my/5840/4/Statistical_Optimization_of_Process_Condition_for_Direct_Bioconversion_of_Sewage_Treatment_Plant_Sludge_for_Bioethanol_Production.pdf