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

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology Journal of Genetic Engineering and Biotechnology Pub Date : 2018-12-01 DOI:10.1016/j.jgeb.2018.01.001
Soha Farag , Nadia A. Soliman , Yasser R. Abdel-Fattah
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引用次数: 41

Abstract

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 MgSO4·7H2O, 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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本地海洋细菌Pseudomonas sp. sp48生物降解原油的统计优化
假单胞菌sp. sp48是一种分离自埃及亚历山德里亚地区的海洋细菌,对石油的降解效率高达1.5%。此外,它还表现出消耗芳香烃(苯酚)的能力;萘)和脂肪族(十五烷)达到79;73;62%,分别。本研究采用Plackett-Burman因子设计评价培养条件对降解效能的影响。Plackett-Burman设计结果分析显示,影响除油效果最显著的变量是硫酸镁、接种量、葡萄糖和Triton X-100。为了优化这些显著变量的水平,采用响应面法(RSM)。为此,我们采用了三层Box-Behnken设计,并建立了一个多项式模型来关联这三个变量与除油的关系。通过EXCEL-Solver非线性优化算法评价培养基主要成分的最佳组合为:(w/v%) 1原油,0.5蛋白胨,0.5酵母提取物,1氯化铵,0.7418 d -葡萄糖,0.5 MgSO4·7H2O, 0.1 Triton X-100,接种量4.18 ml%,在pH为7的天然海水中;30 °C孵育温度,200 rpm, 6 天。预测的最佳除油率为89%,是基础介质的2.4倍。
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来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
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