Occurrence and risk assessment of steroid estrogens in environmental water samples: A five-year worldwide perspective

被引:75
作者
Du, Banghao [1 ]
Fan, Gongduan [1 ,2 ,3 ]
Yu, Weiwei [4 ]
Yang, Shuo [4 ]
Zhou, Jinjin [1 ]
Luo, Jing [1 ]
机构
[1] Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Fujian, Peoples R China
[2] Fuzhou Univ, State Key Lab Photocatalysis Energy & Environm, Fuzhou 350002, Fujian, Peoples R China
[3] Fuzhou Univ, Fujian Prov Key Lab Electrochem Energy Storage Ma, Fuzhou 350002, Fujian, Peoples R China
[4] Chongqing Jiaotong Univ, Sch River & Ocean Engn, Minist Educ, Key Lab Hydraul & Waterway Engn, Chongqing 400074, Peoples R China
基金
中国国家自然科学基金;
关键词
Steroid estrogens; Global occurrence; Environmental water samples; 17 beta-estradiol equivalency; Risk assessment; ENDOCRINE DISRUPTING CHEMICALS; PERFORMANCE LIQUID-CHROMATOGRAPHY; EMERGING ORGANIC CONTAMINANTS; TANDEM MASS-SPECTROMETRY; SOLID-PHASE EXTRACTION; PERSONAL CARE PRODUCTS; SEWAGE-TREATMENT PLANT; EU WATCH LIST; WASTE-WATER; SURFACE-WATER;
D O I
10.1016/j.envpol.2020.115405
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The ubiquitous occurrence of steroid estrogens (SEs) in the aquatic environment has raised global concern for their potential environmental impacts. This paper extensively compiled and reviewed the available occurrence data of SEs, namely estrone (E1), 17 alpha-estradiol (17 alpha-E2), 17 beta-estradiol (17 beta-E2), estriol (E3), and 17 alpha-ethinyl estradiol (EE2), based on 145 published articles in different regions all over the world including 51 countries and regions during January 2015-March 2020. The data regarding SEs concentrations and estimated 17 beta-estradiol equivalency (EEQ) values are then compared and analyzed in different environmental matrices, including natural water body, drinking and tap water, and wastewater treatment plants (WWTPs) effluent. The detection frequencies of E1, 17 beta-E2, and E3 between the ranges of 53%-83% in natural water and WWTPs effluent, and the concentration of SEs varied considerably in different countries and regions. The applicability for EEQ estimation via multiplying relative effect potency (REPi) by chemical analytical data, as well as correlation between EEQ(bio) and EEQ(cal) was also discussed. The risk quotient (RQ) values were on the descending order of EE2 > 17 beta-E2 > E1 > 17 alpha-E2 > E3 in the great majority of investigations. Furthermore, E1, 17 beta-E2, and EE2 exhibited high or medium risks in water environmental samples via optimized risk quotient (RQ(f)) approach at the continental-scale. This overview provides the latest insights on the global occurrence and ecological impacts of SEs and may act as a supportive tool for future SEs investigation and monitoring. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:13
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