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

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: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
TP Chemical technology
TP248.13 Biotechnology
Online Access: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
id iium-5840
recordtype eprints
spelling iium-58402014-11-08T07:53:11Z 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 Conference or Workshop Item 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TP Chemical technology
TP248.13 Biotechnology
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
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.
format Conference or Workshop Item
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
title 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_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_sort statistical optimization of process conditions for direct bioconversion of sewage treatment plant sludge for bioethanol production
publishDate 2006
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
first_indexed 2023-09-18T20:14:37Z
last_indexed 2023-09-18T20:14:37Z
_version_ 1777407704305762304

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