中文摘要：

结合Plackett-Burman设计与响应面法,以柴油降解率为响应值,对一株栖盐田菌（Salinicola sp.）W1的柴油降解条件进行了优化。Plackett-Burman试验结果显示,Fe SO4浓度、NH4NO3浓度和转速是影响柴油降解的显著因素。利用响应面法对3个因素进行了优化,确定Salinicola sp.W1降解柴油的最佳条件是Fe SO4浓度为0.1 mg/L,NH4NO3浓度为0.7 g/L,转速为118 r/min。在最佳条件下,柴油的最大降解率可达95.2%。该菌株有望应用于高盐环境中柴油污染的微生物修复。

英文摘要：

The characterization of diesel degradation by Salinicola sp. W1 was investigated through Plackett-Burman design and response surface method,using diesel degradation rate as the response value. The results of Plackett-Burman design showed that Fe SO4 concentration, NH4NO3 concentration,and rotational speed had significant influence on diesel degradation.Then these factors were optimized by response surface method,and the optimal Fe SO4 concentration, NH4NO3 concentration,and rotational speed was 0.1 mg / L,0.7 g / L and 118 r / min, respectively. Under the optimal conditions,the diesel degradation rate could reach 95.2%. The Salinicola strain could have the potential application in the microbial remediation of diesel pollution in high salinity environment.