Effect-based and chemical analytical methods to monitor estrogens under the European Water Framework Directive

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Authors

KONEMANN Sarah KASE Robert SIMON Eszter SWART Kees BUCHINGER Sebastian SCHLUSENER Michael HOLLERT Henner ESCHER Beate I. WERNER Inge AIT-AISSA Selim VERMEIRSSEN Etienne DULIO Valeria VALSECCHI Sara POLESELLO Stefano BEHNISCH Peter JAVŮRKOVÁ Barbora PERCEVAL Olivier DI PAOLO Carolina OLBRICH Daniel SYCHROVÁ Eliška SCHLICHTING Rita LEBORGNE Lomig CLARA Manfred SCHEFFKNECHT Christoph MARNEFFE Yves CHALON Carole TUSIL Petr SOLDAN Premysl VON DANWITZ Brigitte SCHWAIGER Julia SAN MARTIN BECARES Maria Isabel BERSANI Francesca HILSCHEROVÁ Klára REIFFERSCHEID Georg TERNES Thomas CARERE Mario

Year of publication 2018
Type Article in Periodical
Magazine / Source TRAC-TRENDS IN ANALYTICAL CHEMISTRY
MU Faculty or unit

Faculty of Science

Citation
Web https://www.sciencedirect.com/science/article/pii/S0165993617304338?via%3Dihub
Doi http://dx.doi.org/10.1016/j.trac.2018.02.008
Keywords Science-policy interface; Estrogen screening; Endocrine disruption; Surface and waste water assessment; Emerging pollutants; EU watch-list; Steroid analyses; In vitro bioassays; Integrated effects of mixtures
Description The European Decision EU 2015/495 included three steroidal estrogens, estrone, 17 beta-estradiol and 17 alpha-ethinyl estradiol, in the "watch-list" of the Water Framework Directive (WFD). As consequence, these substances have to be chemically monitored at the level of their environmental quality standards, which can be challenging. This project aimed to identify reliable effect-based methods (EBMs) for screening of endocrine disrupting compounds, to harmonise monitoring and data interpretation methods, and to contribute to the current WFD review process. Water and wastewater samples were collected across Europe and analysed using chemical analyses and EBMs. The results showed that 17 beta-estradiol equivalents were comparable among methods, while results can vary between methods based on the relative potencies for individual substances. Further, derived 17 beta-estradiol equivalents were highly correlated with LC-MS/MS analyses. This study shows that the inclusion of effect-based screening methods into monitoring programmes for estrogens in surface waterbodies would be a valuable complement to chemical analysis.
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