Evaluation of estrogenic and antiestrogenic activity in sludge and explanation of individual compound contributions

0557651 - MBÚ 2023 RIV NL eng J - Journal Article
Černá, Tereza - Ezechiáš, Martin - Semerád, Jaroslav - Grasserová, Alena - Cajthaml, Tomáš
Evaluation of estrogenic and antiestrogenic activity in sludge and explanation of individual compound contributions.
Journal of Hazardous Materials. Roč. 423, FEB 5 2022 (2022), č. článku 127108. ISSN 0304-3894. E-ISSN 1873-3336
Institutional support: RVO:61388971
Keywords : effect-directed analysis * municipal waste-water * generalized concentration addition * reporter gene assay * sewage-sludge * bisphenol analogs * environmental estrogens * androgenic activity * endocrine activity * steroid estrogens * WWTP sludge * Mixture toxicity * Constructed wetland * Agonistic activity * Antagonistic activity
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 13.6, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0304389421020768?via%3Dihub

Mixture toxicity, including agonistic and antagonistic effects, is an unrevealed environmental problem. Estrogenic endocrine disruptors are known to cause adverse effects for aquatic biota, but causative chemicals and their contributions to the total activity in sewage sludge remain unknown. Therefore, advanced analytical methods, a yeast bioassay and mixture toxicity models were concurrently applied for the characterization of 8 selected sludges with delectable estrogenic activity (and 3 sludges with no activity as blanks) out of 25 samples from wastewater treatment plants (WWTPs). The first applied full logistic model adequately explained total activity by considering the concentrations of the monitored compounds. The results showed that the activity was primarily caused by natural estrogens in municipal WWTP sludge. Nevertheless, activity in a sample originating from a car wash facility was dominantly caused by partial agonists nonylphenols and only a model enabling prediction of all dose-response curve parameters of the final mixture curve explained these results. Antiestrogenic effects were negligible, and effect-directed analysis identified the causative chemicals.
Permanent Link: http://hdl.handle.net/11104/0331560