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Diversity Analysis of Oil-Degrading Bacteria in the Indian Ocean and Optimization of Biosurfactant Production

Author: WuChangLiang
Tutor: ShaoZongZe
School: Third Institute of Oceanography of State Oceanic Administration
Course: Microbiology
Keywords: Indian Ocean Oil degrading bacteria DGGE Diversity Biosurfactant Quantitative Analysis Response Surface Methodology Optimization
CLC: X172
Type: Master's thesis
Year: 2010
Downloads: 112
Quote: 0
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Abstract


Marine microbes play an important role in the natural elimination of marine oil pollution and bioremediation. In this paper, the 2007 \In addition, the article also on oil degradation bacteria Alcanivorax dieselolei B-5 production surfactant fermentation medium optimization. The main contents and conclusions are as follows: (1) In order to study the Indian oil degrading bacteria diversity, and access to new oil-degrading bacteria. In this study, sampling of surface waters in the Indian Ocean, as a carbon source in a 1:1 mixture of diesel fuel and crude oil, from which enriched oil degrading bacteria isolated and screened by PCR-DGGE analysis of 13 sites enriched flora flora structure . Observed by morphological, physiological and biochemical reactions and 16SrRNA analysis, a total of 29 51 different bacterial genera, mainly belonging to the α subsets and gamma subsets of. Among them, Alcanivorax genera (representing 18%), Novosphingobium case (representing 10%), the Marinobacter (6%) and Thalassospira (6%) is the main advantage of bacteria. Through the ecological diversity of Shannon-Winner index (H) of 4.57968, indicating that it has a higher diversity; evenness index (E) 0.8664771 its more evenly distributed. Single strain experiments showed that 49 oil degradation ability Sinomonas Knoellia Mesoflavibacter genera of bacteria for the first time found that the degradation ability. DGGE analysis showed Alcanivorax bacteria of the genus is the important oil-degrading bacteria in the surface waters of the Indian Ocean. The present study is the first to reveal the diversity of the oil-degrading bacteria in the surface waters of the Indian Ocean, and to obtain a number of marine oil pollution bioremediation applications prospects degrading bacteria. (2) the lack of fast and efficient and accurate method, quantitative production of biosurfactants been a time-consuming and difficult work. The purpose of this study is to use surfactants at low pH, the principle of forming a precipitate and turbid, the turbidity of the standard curve and for the production of the quantitative surface active agent. A. dieselolei B-5 by the different carbon sources induced strain produced by paired with the standard concentration of the surfactant precipitate, experiments show that the turbidity and made of a standard concentration curve has a good linear correlation. After the the medium verification of the MSM, MMSM and DMSM show the method can be applied in a variety of of medium creatures surfactant production quantitative. The surfactant yield quantitative method using the above experiments for the detection means. In this study, the strain A.dieselolei B-5 biosurfactant produced by optimization of the fermentation medium. Plackett-Burman design optimized experimental results show that the influence surfactant production three important medium components: liquid paraffin, TWEEN-80, of SrCl2. Further the response surface regression method using Design Expert software optimized for the medium. The results showed that the optimum concentrations were 33.18ml / L, 4.15 ml / L and 0.22 g / L. The surfactant yield was (4.31 g / L), 95.91% higher than before.

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