Target and suspect screening analysis reveals persistent emerging organic contaminants in soils and sediments.

Fugacity modeling GC–MS/MS LC-HRMS/MS Lakes Monitoring Persistent compounds

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Oct 2020
Historique:
received: 14 04 2020
revised: 10 06 2020
accepted: 11 06 2020
entrez: 15 9 2020
pubmed: 16 9 2020
medline: 16 9 2020
Statut: ppublish

Résumé

An approach to identifying persistent organic contaminants in the environment was developed and executed for Switzerland as an example of an industrialized country. First, samples were screened with an in-house list using liquid chromatography high-resolution mass spectrometry (LC-HRMS/MS) and gas chromatography tandem mass spectrometry (GC-MS/MS) in 13 samples from the Swiss National Soil Monitoring Network and three sediment cores of an urban and agricultural contaminated lake. To capture a broader range of organic contaminants, the analysis was extended with a suspect screening analysis by LC-HRMS/MS of >500 halogenated compounds obtained from a Swiss database that includes industrial and household chemicals identified, by means of fugacity modeling, as persistent substances in the selected matrices. In total, the confirmation of 96 compounds with an overlap of 34 in soil and sediment was achieved. The identified compounds consist generally of esters, tertiary amines, trifluoromethyls, organophosphates, azoles and aromatic azines, with azoles and triazines being the most common groups. Newly identified compounds include transformation products, pharmaceuticals such as the flukicide niclofolan, the antimicrobial cloflucarban, and the fungicide mandipropamid. The results indicate that agricultural and urban soils as well as sediments impacted by agriculture and wastewater treatment plants (WWTPs) are the most contaminated sites. The plausibility of this outcome confirms the combination of chemical inventory, modeling of partitioning and persistence, and HRMS-based screening as a successful approach to shed light on less frequently or not yet investigated environmental contaminants and emphasizes the need for more soil and sediment monitoring in the future.

Identifiants

pubmed: 32927551
pii: S0048-9697(20)33702-5
doi: 10.1016/j.scitotenv.2020.140181
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140181

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Aurea C Chiaia-Hernández (AC)

Institute of Geography & Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Switzerland. Electronic address: aurea.hernandez@giub.unibe.ch.

Martin Scheringer (M)

Institute of Biogeochemistry and Pollutant Dynamics, ETH, Zürich, Switzerland.

Adrian Müller (A)

Eawag, Swiss Federal Institute of Aquatic Science and Technology, Switzerland.

Greta Stieger (G)

Institute of Biogeochemistry and Pollutant Dynamics, ETH, Zürich, Switzerland.

Daniel Wächter (D)

Agroscope, Zurich, Switzerland.

Armin Keller (A)

Agroscope, Zurich, Switzerland.

Marina G Pintado-Herrera (MG)

Department of Physical Chemistry, Faculty of Marine and Environmental Sciences, CEI-MAR, University of Cadiz, Spain.

Pablo A Lara-Martin (PA)

Department of Physical Chemistry, Faculty of Marine and Environmental Sciences, CEI-MAR, University of Cadiz, Spain.

Thomas D Bucheli (TD)

Agroscope, Zurich, Switzerland.

Juliane Hollender (J)

Eawag, Swiss Federal Institute of Aquatic Science and Technology, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH, Zürich, Switzerland.

Classifications MeSH