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Optimization of biosurfactant production by Bacillus brevis using response surface methodology

The present study aims to evaluate and validate a statistical model for maximizing biosurfactant productivity by Bacillus brevis using response surface methodology. In this respect, twenty bacterial isolates were screened for biosurfactant production using hemolytic activity, oil spreading technique...

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Detalles Bibliográficos
Autores principales: Mouafi, Foukia E., Abo Elsoud, Mostafa M., Moharam, Maysa E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360978/
https://www.ncbi.nlm.nih.gov/pubmed/28352589
http://dx.doi.org/10.1016/j.btre.2015.12.003
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author Mouafi, Foukia E.
Abo Elsoud, Mostafa M.
Moharam, Maysa E.
author_facet Mouafi, Foukia E.
Abo Elsoud, Mostafa M.
Moharam, Maysa E.
author_sort Mouafi, Foukia E.
collection PubMed
description The present study aims to evaluate and validate a statistical model for maximizing biosurfactant productivity by Bacillus brevis using response surface methodology. In this respect, twenty bacterial isolates were screened for biosurfactant production using hemolytic activity, oil spreading technique, and emulsification index (E24). The most potent biosurfactant-producing bacterium (B. brevis) was used for construction of the statistical response surface model. The optimum conditions for biosurfactant production by B. brevis were: 33 °C incubation temperature at pH 8 for 10 days incubation period and 8.5 g/L glucose concentration as a sole carbon source. The produced biosurfactant (BS) (73%) exhibited foaming activity, thermal stability in the range 30–80 °C for 30 min., pH stability, from 4 to 9 and antimicrobial activity against (Escherichia coli). The BS gave a good potential application as an emulsifier.
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spelling pubmed-53609782017-03-28 Optimization of biosurfactant production by Bacillus brevis using response surface methodology Mouafi, Foukia E. Abo Elsoud, Mostafa M. Moharam, Maysa E. Biotechnol Rep (Amst) Article The present study aims to evaluate and validate a statistical model for maximizing biosurfactant productivity by Bacillus brevis using response surface methodology. In this respect, twenty bacterial isolates were screened for biosurfactant production using hemolytic activity, oil spreading technique, and emulsification index (E24). The most potent biosurfactant-producing bacterium (B. brevis) was used for construction of the statistical response surface model. The optimum conditions for biosurfactant production by B. brevis were: 33 °C incubation temperature at pH 8 for 10 days incubation period and 8.5 g/L glucose concentration as a sole carbon source. The produced biosurfactant (BS) (73%) exhibited foaming activity, thermal stability in the range 30–80 °C for 30 min., pH stability, from 4 to 9 and antimicrobial activity against (Escherichia coli). The BS gave a good potential application as an emulsifier. Elsevier 2016-01-08 /pmc/articles/PMC5360978/ /pubmed/28352589 http://dx.doi.org/10.1016/j.btre.2015.12.003 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Mouafi, Foukia E.
Abo Elsoud, Mostafa M.
Moharam, Maysa E.
Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title_full Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title_fullStr Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title_full_unstemmed Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title_short Optimization of biosurfactant production by Bacillus brevis using response surface methodology
title_sort optimization of biosurfactant production by bacillus brevis using response surface methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360978/
https://www.ncbi.nlm.nih.gov/pubmed/28352589
http://dx.doi.org/10.1016/j.btre.2015.12.003
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