Suspect Screening of Chemicals in Hospital Wastewaters Using Effect-Directed Analysis Approach as Prioritization Strategy
dc.contributor.author | López Herguedas, Naroa | |
dc.contributor.author | Mijangos Treviño, Leire | |
dc.contributor.author | Álvarez Mora, Iker | |
dc.contributor.author | González Gaya, Belén | |
dc.contributor.author | Uribe Echeverria, Teresa | |
dc.contributor.author | Etxebarria Loizate, Nestor | |
dc.contributor.author | Zuloaga Zubieta, Olatz | |
dc.contributor.author | Olivares Zabalandicoechea, Maitane | |
dc.contributor.author | Prieto Sobrino, Ailette | |
dc.date.accessioned | 2023-02-13T15:46:49Z | |
dc.date.available | 2023-02-13T15:46:49Z | |
dc.date.issued | 2023-01-26 | |
dc.identifier.citation | Molecules 28(3) : (2023) // Article ID 1212 | es_ES |
dc.identifier.issn | 1420-3049 | |
dc.identifier.uri | http://hdl.handle.net/10810/59780 | |
dc.description.abstract | The increasing number of contaminants in the environment has pushed water monitoring programs to find out the most hazardous known and unknown chemicals in the environment. Sample treatment-simplification methods and non-target screening approaches can help researchers to not overlook potential chemicals present in complex aqueous samples. In this work, an effect-directed analysis (EDA) protocol using the sea urchin embryo test (SET) as a toxicological in vivo bioassay was used as simplified strategy to identify potential unknown chemicals present in a very complex aqueous matrix such as hospital effluent. The SET bioassay was used for the first time here to evaluate potential toxic fractions in hospital effluent, which were obtained after a two-step fractionation using C18 and aminopropyl chromatographic semi-preparative columns. The unknown compounds present in the toxic fractions were identified by means of liquid chromatography coupled to a Q Exactive Orbitrap high-resolution mass spectrometer (LC-HRMS) and using a suspect analysis approach. The results were complemented by gas chromatography-mass spectrometry analysis (GC-MS) in order to identify the widest range of chemical compounds present in the sample and the toxic fractions. Using EDA as sample treatment simplification method, the number of unknown chemicals (>446 features) detected in the raw sample was narrowed down to 94 potential toxic candidates identified in the significantly toxic fractions. Among them, the presence of 25 compounds was confirmed with available chemical standards including 14 pharmaceuticals, a personal care product, six pesticides and four industrial products. The observations found in this work emphasize the difficulties in identifying potential toxicity drivers in complex water samples, as in the case of hospital wastewater. | 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 CTM2017-84763-C3-1-R and CTM2020-11686RB-C31 projects and the Basque Government through the financial support as a consolidated group of the Basque Research System (IT1446-22). The authors are grateful to the Consorcio de Aguas de Bilbao and especially to Iñigo González. Naroa Lopez-Herguedas is grateful to the Spanish Ministry of Economy, Industry and Competitivity for her predoctoral scholarship FPI 2018 (PRE2018-086493). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICIU/CTM2017-84763-C3-1-R | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/CTM2020-11686RB-C31 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICIU/PRE2018-086493 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | effect-directed analysis | es_ES |
dc.subject | sea urchin bioassay | es_ES |
dc.subject | suspect screening | es_ES |
dc.subject | hospital effluent | es_ES |
dc.subject | LC-q-Orbitrap | es_ES |
dc.title | Suspect Screening of Chemicals in Hospital Wastewaters Using Effect-Directed Analysis Approach as Prioritization Strategy | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2023-02-10T14:29:02Z | |
dc.rights.holder | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/1420-3049/28/3/1212 | es_ES |
dc.identifier.doi | 10.3390/molecules28031212 | |
dc.departamentoes | Química analítica | |
dc.departamentoeu | Kimika analitikoa |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).