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Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48

Pseudomonas sp. sp48, a marine bacterium isolated from Bahary area (Alexandria, Egypt), showed a high potency for oil degradation up to 1.5%. Additionally, it showed an ability to consume aromatic hydrocarbons (phenol & naphthalene) and aliphatic (pentadecane) reaching to 79; 73; 62%, respective...

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Autores principales: Farag, Soha, Soliman, Nadia A., Abdel-Fattah, Yasser R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Scientific Research and Technology, Egypt 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353655/
https://www.ncbi.nlm.nih.gov/pubmed/30733754
http://dx.doi.org/10.1016/j.jgeb.2018.01.001
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author Farag, Soha
Soliman, Nadia A.
Abdel-Fattah, Yasser R.
author_facet Farag, Soha
Soliman, Nadia A.
Abdel-Fattah, Yasser R.
author_sort Farag, Soha
collection PubMed
description Pseudomonas sp. sp48, a marine bacterium isolated from Bahary area (Alexandria, Egypt), showed a high potency for oil degradation up to 1.5%. Additionally, it showed an ability to consume aromatic hydrocarbons (phenol & naphthalene) and aliphatic (pentadecane) reaching to 79; 73; 62%, respectively. In the current study, Plackett-Burman factorial design was applied to evaluate culture conditions affecting the degradation potency. Analysis of Plackett-Burman design results revealed that, the most significant variables affecting oil removal were magnesium sulfate, inoculum size, glucose and Triton X-100. To optimize the levels of these significant variables Response Surface Methodology (RSM) was followed. In this respect, the three-level Box–Behnken design was employed and a polynomial model was created to correlate the relationship between the three variables and oil removal. The optimal combinations of the major constituents of media that was evaluated from the non-linear optimization algorithm of EXCEL-Solver was as follows: (w/v%) 1 crude oil, 0.5 peptone, 0.5 yeast-extract, 1 ammonium chloride, 0.7418 D-glucose, 0.5 MgSO(4)·7H(2)O, 0.1 Triton X-100 and inoculums size 4.18 ml% in natural sea water at pH 7; 30 °C incubation temperature, 200 rpm for 6 days. The predicted optimum oil removal was 89%, which is 2.4 times more than the basal medium.
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spelling pubmed-63536552019-02-07 Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48 Farag, Soha Soliman, Nadia A. Abdel-Fattah, Yasser R. J Genet Eng Biotechnol Microbial/industrial Biotechnology Pseudomonas sp. sp48, a marine bacterium isolated from Bahary area (Alexandria, Egypt), showed a high potency for oil degradation up to 1.5%. Additionally, it showed an ability to consume aromatic hydrocarbons (phenol & naphthalene) and aliphatic (pentadecane) reaching to 79; 73; 62%, respectively. In the current study, Plackett-Burman factorial design was applied to evaluate culture conditions affecting the degradation potency. Analysis of Plackett-Burman design results revealed that, the most significant variables affecting oil removal were magnesium sulfate, inoculum size, glucose and Triton X-100. To optimize the levels of these significant variables Response Surface Methodology (RSM) was followed. In this respect, the three-level Box–Behnken design was employed and a polynomial model was created to correlate the relationship between the three variables and oil removal. The optimal combinations of the major constituents of media that was evaluated from the non-linear optimization algorithm of EXCEL-Solver was as follows: (w/v%) 1 crude oil, 0.5 peptone, 0.5 yeast-extract, 1 ammonium chloride, 0.7418 D-glucose, 0.5 MgSO(4)·7H(2)O, 0.1 Triton X-100 and inoculums size 4.18 ml% in natural sea water at pH 7; 30 °C incubation temperature, 200 rpm for 6 days. The predicted optimum oil removal was 89%, which is 2.4 times more than the basal medium. Academy of Scientific Research and Technology, Egypt 2018-12 2018-01-06 /pmc/articles/PMC6353655/ /pubmed/30733754 http://dx.doi.org/10.1016/j.jgeb.2018.01.001 Text en © 2017 Production and hosting by Elsevier B.V. on behalf of Academy of Scientific Research & Technology. 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 Microbial/industrial Biotechnology
Farag, Soha
Soliman, Nadia A.
Abdel-Fattah, Yasser R.
Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title_full Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title_fullStr Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title_full_unstemmed Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title_short Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48
title_sort statistical optimization of crude oil bio-degradation by a local marine bacterium isolate pseudomonas sp. sp48
topic Microbial/industrial Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353655/
https://www.ncbi.nlm.nih.gov/pubmed/30733754
http://dx.doi.org/10.1016/j.jgeb.2018.01.001
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