利用细菌群及其酶降解原油的统计优化

IF 0.2 Q4 Biochemistry, Genetics and Molecular Biology

Research Journal of Biotechnology Pub Date : 2023-10-15 DOI:10.25303/1811rjbt01150124

Kumar S.V. Praveen, John Indulekha, K. Valarmathy, B.K. Manjunatha

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引用次数: 0

摘要

研究了中心复合设计在细菌联合强化原油修复中的应用。选取土壤分离菌株KG-2、SMG-8、NR-3和OK-6(2)进行原油利用研究。通过16s rDNA序列鉴定菌株分别为假单胞菌stutzeri-KX344913、P. stutzeri-KX289657、普罗维登斯菌rettgeri-KX289656和P. rettgeri-KX344914。采用DCPIP氧化还原指示剂进行初步降解，采用响应面法(RSM)、方差分析和回归模型进行进一步降解。采用基于CCD的RSM方法，建立CCD模型并进行批量实验，了解pH、温度、盐度和接种量4个变量对TPH降解过程的影响。

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Statistical Optimization of Crude Oil Degradation using Bacterial Consortium and their Enzymes

The present study investigated the application of central composite design in enhanced crude oil remediation using bacterial consortium. The bacterial strains viz. KG-2, SMG-8, NR-3 and OK-6(2) isolated from soil were selected for the crude oil utilization studies. The strains were identified as Pseudomonas stutzeri-KX344913, P. stutzeri-KX289657, Providencia rettgeri-KX289656 and P. rettgeri-KX344914 respectively using 16s rDNA sequence. The preliminary degradation was done using the DCPIP redox-indicator and further degradation was conducted by using Response Surface Methodology (RSM) and the analysis of variance and regression model. CCD model was developed and batch experiments were performed to understand the significance of the four variables (pH, temperature, salinity and inoculum concentration) on the TPH degradation process by applying CCD based RSM.

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来源期刊

Research Journal of Biotechnology 工程技术-生物工程与应用微生物

CiteScore

0.60

自引率

0.00%

发文量

192

审稿时长

1.5 months

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