Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production

In this study a new yeast strain was isolated from Egyptian sugarcane molasses for its high capability of bioethanol fermentation,under anaerobic conditions.It was identified on the basis of its 18S rDNA to be Candida stauntonica MY1 (Accession No.KM657091). The central composite face centered...

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Main Authors: El-Gendy, Nour Sh, Zainal Abidin, Zurina, Abu Amr, Salem S., Nassar, Hussein N.
Format: Article
Language:English
Published: Excellent Publishers 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46381/1/Statistical%20optimization%20of%20alginate%20immobilization%20process%20of%20candida%20stauntonica%20strain%20MY1%20for%20bioethanol%20production.pdf
http://psasir.upm.edu.my/id/eprint/46381/
http://www.ijcmas.com/
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spelling my.upm.eprints.463812018-04-26T05:24:00Z http://psasir.upm.edu.my/id/eprint/46381/ Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production El-Gendy, Nour Sh Zainal Abidin, Zurina Abu Amr, Salem S. Nassar, Hussein N. In this study a new yeast strain was isolated from Egyptian sugarcane molasses for its high capability of bioethanol fermentation,under anaerobic conditions.It was identified on the basis of its 18S rDNA to be Candida stauntonica MY1 (Accession No.KM657091). The central composite face centered design CCFD matrix and response surface methodology were applied in designing and optimizing the process of calcium-alginate immobilization of MY1 yeast cells to maximize its bioethanol productivity from glucose and evaluate the influence and interactive effect of three critical immobilization parameters; bead size (diameter,mm),initial inoculum size (g/L) and alginate concentration (g/L) on the bioethanol yield. Three quadratic model equations have been predicted ending out how statistically significant the effects of these variables (factors) and their interactions are in practice. The validity of the predicted models was confirmed. The optimum conditions for cell immobilization were found to be 2.5mm, 2.5 g/L and 5.5g/L,respectively. That produced 4.4 g/L bioethanol,with actual yield of 41.9% i.e. YP/S0.42g ethanol/g glucose, which was about 2.3 fold higher than that produced with free cells batch fermentation operated under the same conditions;48 h, pH5.5, 30oC and 100rpm. The immobilized cells showed good stability, with long storage time 21d and can be used for four successive batches with maximum bioethanol productivity. Excellent Publishers 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46381/1/Statistical%20optimization%20of%20alginate%20immobilization%20process%20of%20candida%20stauntonica%20strain%20MY1%20for%20bioethanol%20production.pdf El-Gendy, Nour Sh and Zainal Abidin, Zurina and Abu Amr, Salem S. and Nassar, Hussein N. (2015) Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production. International Journal of Current Microbiology and Applied Sciences, 4 (3). pp. 397-420. ISSN 2319-7692; ESSN: 2319-7706 http://www.ijcmas.com/
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this study a new yeast strain was isolated from Egyptian sugarcane molasses for its high capability of bioethanol fermentation,under anaerobic conditions.It was identified on the basis of its 18S rDNA to be Candida stauntonica MY1 (Accession No.KM657091). The central composite face centered design CCFD matrix and response surface methodology were applied in designing and optimizing the process of calcium-alginate immobilization of MY1 yeast cells to maximize its bioethanol productivity from glucose and evaluate the influence and interactive effect of three critical immobilization parameters; bead size (diameter,mm),initial inoculum size (g/L) and alginate concentration (g/L) on the bioethanol yield. Three quadratic model equations have been predicted ending out how statistically significant the effects of these variables (factors) and their interactions are in practice. The validity of the predicted models was confirmed. The optimum conditions for cell immobilization were found to be 2.5mm, 2.5 g/L and 5.5g/L,respectively. That produced 4.4 g/L bioethanol,with actual yield of 41.9% i.e. YP/S0.42g ethanol/g glucose, which was about 2.3 fold higher than that produced with free cells batch fermentation operated under the same conditions;48 h, pH5.5, 30oC and 100rpm. The immobilized cells showed good stability, with long storage time 21d and can be used for four successive batches with maximum bioethanol productivity.
format Article
author El-Gendy, Nour Sh
Zainal Abidin, Zurina
Abu Amr, Salem S.
Nassar, Hussein N.
spellingShingle El-Gendy, Nour Sh
Zainal Abidin, Zurina
Abu Amr, Salem S.
Nassar, Hussein N.
Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
author_facet El-Gendy, Nour Sh
Zainal Abidin, Zurina
Abu Amr, Salem S.
Nassar, Hussein N.
author_sort El-Gendy, Nour Sh
title Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
title_short Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
title_full Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
title_fullStr Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
title_full_unstemmed Statistical optimization of alginate immobilization process of candida stauntonica strain MY1 for bioethanol production
title_sort statistical optimization of alginate immobilization process of candida stauntonica strain my1 for bioethanol production
publisher Excellent Publishers
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/46381/1/Statistical%20optimization%20of%20alginate%20immobilization%20process%20of%20candida%20stauntonica%20strain%20MY1%20for%20bioethanol%20production.pdf
http://psasir.upm.edu.my/id/eprint/46381/
http://www.ijcmas.com/
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score 13.18916