Characterization of wastewater effluents in the Danube River Basin with chemical screening, in vitro bioassays and antibiotic resistant genes analysis

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3057706 28 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Characterization of wastewater effluents in the Danube River Basin with chemical screening, in vitro bioassays and antibiotic resistant genes analysis
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Averaged 7-day composite effluent wastewater samples from twelve wastewater treatment plants (WWTPs) in nine countries (Romania, Serbia, Hungary, Slovenia, Croatia, Slovakia, Czechia, Austria, Germany) in the Danube River Basin were collected. WWTPs' selection was based on countries' dominant technology and a number of served population with the aim to get a representative holistic view of the pollution status. Samples were analyzed for 2248 chemicals of emerging concern (CECs) by wide-scope target screening employing LC-ESI-QTOF-MS. 280 compounds were detected at least in one sample and quantified. Spatial differences in the concentrations and distribution of the compounds classes were discussed. Additionally, samples were analyzed for the possible agonistic/antagonistic potencies using a panel of in vitro transactivation reporter gene CALUX® bioassays including ERα (estrogenics), anti-AR (anti-androgens), GR (glucocorticoids), anti-PR (anti-progestins), PPARα and PPARγ (peroxisome proliferators) and PAH assays. The potency of the wastewater samples to cause oxidative stress and induce xenobiotic metabolism was determined using the Nrf2 and PXR CALUX® bioassays, respectively. The signals from each of the bioassays were compared with the recently developed effect-based trigger values (EBTs) and thus allowed for allocating the wastewater effluents into four categories based on their measured toxicity, proposing a putative action plan for wastewater operators. Moreover, samples were analyzed for antibiotics and 13 antibiotic-resistant genes (ARGs) and one mobile genetic element (intl1) with the aim to assess the potential for antibiotic resistance. All data collected from these various types of analysis were stored in an on-line database and can be viewed via interactive map at https://norman-data.eu/EWW_DANUBE. © 2019 Environmental Institute, s.r.o., Okru~ná 784/42, 97241 Koa, Slovak Republic
Έτος δημοσίευσης:
2019
Συγγραφείς:
Alygizakis, N.A.
Besselink, H.
Paulus, G.K.
Oswald, P.
Hornstra, L.M.
Oswaldova, M.
Medema, G.
Thomaidis, N.S.
Behnisch, P.A.
Slobodnik, J.
Περιοδικό:
Environment International
Εκδότης:
Elsevier Ireland Ltd
Τόμος:
127
Σελίδες:
420-429
Λέξεις-κλειδιά:
Antibiotics; Bioassay; Chemical analysis; Cytology; Effluent treatment; Genes; River pollution; Rivers; Screening; Sewage treatment plants; Wastewater treatment; Watersheds, Antibiotic resistance; Antibiotic-resistant genes; Danube river basin; Emerging substances; Peroxisome proliferators; Target screening; Wastewater treatment plants; Xenobiotic metabolism, Effluents, androgen receptor antagonist; antiandrogen; antibiotic agent; antigestagen; estrogen; estrogen receptor alpha; glucocorticoid; peroxisome proliferator activated receptor alpha; peroxisome proliferator activated receptor gamma; polycyclic aromatic hydrocarbon; pregnane X receptor; transcription factor Nrf2; antiinfective agent, antibiotic resistance; bioassay; composite; effluent; gene; metabolism; oxidative stress; wastewater treatment plant, antibiotic resistance; Article; bioassay; chemical analysis; controlled study; effluent; electrospray mass spectrometry; genetic analysis; genetic resistance; in vitro study; liquid chromatography; oxidative stress; pollutant; priority journal; risk assessment; river basin; time of flight mass spectrometry; transactivation assay; waste water; water sampling; xenobiotic metabolism; antibiotic resistance; bioassay; chemistry; genetics; river; waste water; water pollutant, Danube Basin, Anti-Bacterial Agents; Biological Assay; Drug Resistance, Microbial; Rivers; Waste Water; Water Pollutants, Chemical
Επίσημο URL (Εκδότης):
DOI:
10.1016/j.envint.2019.03.060
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