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本地海洋分离细菌sp. sp48对原油生物降解的统计优化

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

作者信息

Farag Soha, Soliman Nadia A, Abdel-Fattah Yasser R

机构信息

Environmental Biotechnology Department Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications, Alexandria, Egypt.

Bioprocess Development Department. Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications, Alexandria, Egypt.

出版信息

J Genet Eng Biotechnol. 2018 Dec;16(2):409-420. doi: 10.1016/j.jgeb.2018.01.001. Epub 2018 Jan 6.

Abstract

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·7HO, 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.

摘要

sp. sp48是从埃及亚历山大港巴哈里地区分离出的一种海洋细菌,它对高达1.5%的石油具有高效降解能力。此外,它还能够消耗芳香烃(苯酚和萘)以及脂肪烃(十五烷),去除率分别达到79%、73%和62%。在本研究中,采用了Plackett-Burman析因设计来评估影响降解能力的培养条件。对Plackett-Burman设计结果的分析表明,影响石油去除的最显著变量是硫酸镁、接种量、葡萄糖和吐温X-100。为了优化这些显著变量的水平,采用了响应面方法(RSM)。在这方面,采用了三级Box-Behnken设计,并建立了一个多项式模型来关联这三个变量与石油去除之间的关系。通过EXCEL-Solver的非线性优化算法评估的培养基主要成分的最佳组合如下:(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 MgSO·7H₂O、0.1吐温X-100,接种量为4.18毫升%,在pH值为7的天然海水中,培养温度为30°C,转速为200转/分钟,培养6天。预测的最佳石油去除率为89%,是基础培养基的2.4倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a939/6353655/6b863f275002/gr1.jpg

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