dc.contributor.author | López Herguedas, Naroa | |
dc.contributor.author | González Gaya, Belén | |
dc.contributor.author | Castelblanco Boyacá, Nicolás | |
dc.contributor.author | Rico, A. | |
dc.contributor.author | Etxebarria Loizate, Nestor | |
dc.contributor.author | Olivares Zabalandicoechea, Maitane | |
dc.contributor.author | Prieto Sobrino, Ailette | |
dc.contributor.author | Zuloaga Zubieta, Olatz | |
dc.date.accessioned | 2022-02-07T09:09:01Z | |
dc.date.available | 2022-02-07T09:09:01Z | |
dc.date.issued | 2022-02-01 | |
dc.identifier.citation | Science of the Total Environment 806(3) : (2022) // Article ID 151262 | es_ES |
dc.identifier.issn | 0048-9697 | |
dc.identifier.issn | 1879-1026 | |
dc.identifier.uri | http://hdl.handle.net/10810/55373 | |
dc.description.abstract | The interest in contaminants of emerging concern (CECs) has increased lately due to their continued emission and potential ecotoxicological hazards. Wastewater treatment plants (WWTPs) are generally not capable of eliminating them and are considered the main pathway for CECs to the aquatic environment. The number of CECs in WWTPs effluents is often so large that complementary approaches to the conventional target analysis need to be implemented. Within this context, multitarget quantitative analysis (162 compounds) and a suspect screening (>40,000 suspects) approaches were applied to characterize the CEC fingerprint in effluents of five WWTPs in the Henares River basin (central Spain) during two sampling campaigns (summer and autumn). The results indicated that 76% of the compounds quantified corresponded to pharmaceuticals, 21% to pesticides and 3% to industrial chemicals. Apart from the 82 compounds quantified, suspect screening increased the list to 297 annotated compounds. Significant differences in the CEC fingerprint were observed between summer and autumn campaigns and between the WWTPs, being those serving the city of Alcala de Henares the ones with the largest number of compounds and concentrations. Finally, a risk prioritization approach was applied based on risk quotients (RQs) for algae, invertebrates, and fish. Azithromycin, diuron, chlortoluron, clarithromycin, sertraline and sulfamethoxazole were identified as having the largest risks to algae. As for invertebrates, the compounds having the largest RQs were carbendazim, fenoxycarb and eprosartan, and for fish acetaminophen, DEET, carbendazim, caffeine, fluconazole, and azithromycin. The two WWTPs showing higher calculated Risk Indexes had tertiary treatments, which points towards the need of increasing the removal efficiency in urban WWTPs. Furthermore, considering the complex mixtures emitted into the environment and the low dilution capacity of Mediterranean rivers, we recommend the development of detailed monitoring plans and stricter regulations to control the chemical burden created to freshwater ecosystems. | es_ES |
dc.description.sponsorship | Authors acknowledge financial support from the Agencia Estatal de
Investigación (AEI) of Spain and the European Regional Development
Fund through project CTM2017-84763-C3-1-R project and the Basque
Government through the financial support as consolidated group of
the Basque Research System (IT1213-19). NLH is grateful to the Spanish
Ministry of Economy, Industry and Competitivity for her predoctoral
scholarship FPI 2018. BGG acknowledge an EHU/UPV postdoctoral
fellowship. AR is supported by the Talented Researcher Support
Programme - Plan GenT (CIDEGENT/2020/043) of the Generalitat
Valenciana. Finally, the authors acknowledge support from the AEI
and the Ministry of Science, Innovation and Universities (MICIU) to
support the Thematic Network of Excellence (NET4SEA) on emerging
contaminants in marine settings (CTM2017-90890-REDT, MICIU/AEI/
FEDER, EU). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MCIU/CTM2017-90890-REDT | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | editor | es_ES |
dc.subject | Adrian Covaci | es_ES |
dc.subject | waste | es_ES |
dc.subject | water | es_ES |
dc.subject | suspect analysis | es_ES |
dc.subject | contaminants of emerging concern | es_ES |
dc.subject | pharmaceuticals | es_ES |
dc.subject | risk assessment | es_ES |
dc.subject | mass-spectrometry | es_ES |
dc.subject | risk-assessment | es_ES |
dc.subject | pharmacokinetic properties | es_ES |
dc.subject | surface waters | es_ES |
dc.subject | fresh-water | es_ES |
dc.subject | pharmaceuticals | es_ES |
dc.subject | pesticides | es_ES |
dc.subject | removal | es_ES |
dc.subject | micropollutants | es_ES |
dc.subject | pollutants | es_ES |
dc.title | Characterization of the contamination fingerprint of wastewater treatment plant effluents in the Henares River Basin (central Spain) based on target and suspect screening analysis | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0048969721063403?via%3Dihub#! | es_ES |
dc.identifier.doi | DOI10.1016/j.scitotenv.2021.151262 | |
dc.departamentoes | Química analítica | es_ES |
dc.departamentoeu | Kimika analitikoa | es_ES |