摘要
针对土壤的石油污染问题,在花盆中模拟原位修复实验,采用单因素实验考察有机质与全氮含量比(C/N)、含水率及漆酶活性对石油烃降解率的影响。通过响应曲面法设计实验,建立二次多元回归方程预测模型,确定修复的最佳条件。结果表明:在干旱条件下漆酶可以增强石油烃的生物修复效果。软件预测模型显著且具有准确性,在C/N为12.35∶1,漆酶活性为15.03 U/g,含水率为12.62%条件下,修复30 d后石油烃降解率为25.01%。对石油烃降解率影响的显著性从小到大依次为漆酶活性、含水率、C/N。
Based on the problem of oil-contaminated soil,the in situ remediation is conducted in flowerpots. The influences of carbon-nitrogen ratio,moisture content and laccase activity on oil degradation rate are investigated by single factor experiment. Then the response surface method is used to design the experiment,by which a prediction model of polynomial regression equation is obtained to determine the optimal parameter arrangement. Under the optimized parameter arrangement,the model is verified. The result shows that laccase can enhance the hydrocarbon degradation under the drought condition. The prediction model is significant and accurate. After remediation for 30 days,the hydrocarbon degradation rate is up to 25. 01% when the carbon-nitrogen ratio is 12. 35 to 1,the laccase activity is 15. 03U/g and the moisture content is 12. 62%. The significance order of the impact on hydrocarbon degradation rate from low to high is laccase activity,moisture content and carbon-nitrogen ratio.
出处
《现代化工》
CAS
CSCD
北大核心
2017年第4期109-112,共4页
Modern Chemical Industry
基金
山东省自然科学基金项目(ZR2014BM023)
中国石油科技创新基金项目(2009D-5006-07-01)
青岛市科技发展指导计划项目(KJZD-12-65-jch)
中央高校基本科研业务费专项资金(11CX05011A)
中央高校基本科研业务费专项资金资助(14CX06101A)
中国石油大学(华东)创新工程(YCXJ2016032)
关键词
石油污染土壤
漆酶
响应面
石油烃降解
优化条件
oil-contaminated soil
laccase
response surface method
oil degradation
optimal condition
