Optimization for Microbial Degradation of Dibenzothiophene by Pseudomonas sp. LKY-5 Using Response S

• 作 者: Li Lin Zhao Chaocheng Liu Qiyou Zhang Yunbo Liu Chunshuang Xue Jianliang
• 机 构: College of Chemical Engineering, China University of Petroleum Qingdao,
• 出 处: China Petroleum Processing & Petrochemical Technology
• 发表日期: 2014年01期
• 关键词: degradation dibenzothiophene Pseudomonas sp. response surface methodology Box-Be

In this research, the degradation of dibenzothiophene(DBT) was investigated by using Pseudomonas sp. LKY-5 isolated from oil contaminated soil. The response surface methodology(RSM) based on the Box-Behnken design(BBD) was applied for evaluating the interactive effects of four independent variables including substrate concentration, temperature, pH and agitation rate on the DBT removal response. A total of 29 experiments for four factors at three levels were conducted in present study. A second-order regression model was then developed, and the analysis of variance(ANOVA) illustrated that the proposed quadratic model could be utilized to navigate the design space. The value of determination coefficient(R2=0.953 4) indicated a satisfactory agreement between the quadratic model and the experimental data. It was found that DBT removal was more significantly affected(P<0.000 1) by substrate concentration compared with other three parameters. An 100% degradation of DBT could be obtained by Pseudomonas sp. LKY-5 at a substrate concentration of 100 mg/L.

In this research, the degradation of dibenzothiophene (DBT) was investigated by using Pseudomonas sp. LKY-5 isolated from oil contaminated soil. The response surface methodology (RSM) based on the Box-Behnken design (BBD) was applied for evaluating the interactive effects of four independent variables including substrate concentration, temperature, pH and agitation rate on the DBT removal response. A total of 29 experiments for four factors at three levels were conducted in present study. A second-order regression model was then developed, and the Analysis of variance (ANOVA) illustrated that the proposed quadratic model could be utilized to navigate the design space. The value of determination coefficient (R2 = 0.953 4) indicates a satisfactory agreement between the quadratic model and the experimental data. It was found that DBT An increase of 100% degradation of DBT could be obtained by (P <0.000 1) by substrate concentration compared with the other three parameters. Pseudomonas sp. LKY-5 at a substrate concentration of 100 mg / L.