摘要
针对水环境中内分泌干扰物低浓度、难去除和高危害的特点,为全面了解污水处理过程中雌激素水平和效应的变化情况,采用HPLC-UV-FLD分析了污水中4种固醇类雌激素的浓度水平,采用重组酵母菌雌激素筛检法(YES)评价了城市污水处理流程(A^2/O)中污水的雌激素活性,同时采用酶联免疫吸附法(ELISA)检测污水处理过程中雌二醇(E2)的浓度水平。结果表明,出水中雌酮(E1)质量浓度最高,为87.97 ng·L^(-1),雌二醇(E2)质量浓度最低,为5.50 ng·L^(-1),固醇类雌激素水平去除率为88.83%~95.69%。A^2/O系统对雌激素活性的去除率为73.33%,但出水仍具有一定的雌激素活性,雌激素当量EEQ为1.92 ng·L^(-1)。ELSIA检测得雌二醇(E2)质量浓度为10.01~82.82 ng·L^(-1),去除率为88.23%,与YES法检测结果具有一致性。ELISA检测可以成为体外检测的一个重要补充。
As endocrine disrupting chemicals in the water environment is low in concentration,difficult to remove and highly hazardous,it is essential to get a full grasp of how estrogen in wastewater varies with the process of treatment in activity and concentration. To that end,samples of wastewater were collected from an urban wastewater treatment installation for analysis of concentrations and activities of 4 kinds of steroid estrogens,using the high performance liquid chromatography-UV detector-fluorescence detector( HPLC-UV-FLD) and the yeast estrogen screen( YES) method,separately. Moreover,enzyme linked immunosorbent assay( ELISA) was performed to determine concentrations of E2 in the wastewater under treatment. Results show that among the four kinds of estrogens detected in the effluent,E1 was the highest in concentration,reaching 87. 97 ng·L^(-1)and E2,the lowest being 5. 50 ng·L^(-1),which indicates that the steroid estrogen removal rate varied in the range of 88. 83%-95. 69%. The A^2/O system was found to be able to lower activity of the estrogens by73. 33%. However,the estrogens in the effluent were still quite active with EEQ being 1. 92 ng·L^(-1). ELISA reveals that the concentration of E2 in the effluent varied in the range of 10. 01-82. 82 ng·L^(-1),which indicates that the removal rate of E2 was 88. 23%. Obviously ELISA and YES are quite consistent in determination. Therefore,it could be concluded that ELISA could be a workable supplement to in vitro assays of estrogens.
出处
《生态与农村环境学报》
CAS
CSCD
北大核心
2017年第6期571-576,共6页
Journal of Ecology and Rural Environment
基金
城区水污染控制和水环境功能提升技术研究项目(2014ZX07305-002-01)
国家自然科学基金(51508449)
中国博士后科学基金面上项目(2015M572531)