What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS
Wiebke Dürig
(1, 2)
,
Sofia Lindblad
(1, 2)
,
Oksana Golovko
(1)
,
Georgios Gkotsis
(3)
,
Reza Aalizadeh
(3)
,
Maria-Christina Nika
(3)
,
Nikolaos Thomaidis
(3)
,
Nikiforos Alygizakis
(3)
,
Merle Plassmann
(4, 5)
,
Peter Haglund
(6)
,
Qiuguo Fu
(7, 8)
,
Juliane Hollender
(7, 9)
,
Jade Chaker
(10, 2, 11, 12)
,
Arthur David
(10, 2, 11, 12, 13)
,
Uwe Kunkel
(14)
,
André Macherius
(14)
,
Lidia Belova
(15)
,
Giulia Poma
(15)
,
Hugues Preud'Homme
(16)
,
Catherine Munschy
(17)
,
Yann Aminot
(17)
,
Carsten Jaeger
(18)
,
Jan Lisec
(18)
,
Martin Hansen
(19)
,
Katrin Vorkamp
(19)
,
Linyan Zhu
(19)
,
Francesca Cappelli
(20)
,
Claudio Roscioli
(20)
,
Sara Valsecchi
(20)
,
Renzo Bagnati
(21)
,
Belén González
(22)
,
Ailette Prieto
(22)
,
Olatz Zuloaga
(22)
,
Ruben Gil-Solsona
(23, 24, 25)
,
Pablo Gago-Ferrero
(23, 25)
,
Sara Rodriguez-Mozaz
(23, 24)
,
Hélène Budzinski
(26)
,
Marie-Helene Devier
(26)
,
Georg Dierkes
(27)
,
Lise Boulard
(27, 28)
,
Griet Jacobs
(29)
,
Stefan Voorspoels
(29)
,
Heinz Rüdel
(30)
,
Lutz Ahrens
(1)
1
SLU -
Swedish University of Agricultural Sciences
2 Irset - Institut de recherche en santé, environnement et travail
3 NKUA - National and Kapodistrian University of Athens
4 Department of Environmental Science, Stockholm University, SE-10691 Stockholm, Sweden
5 Stockholm University
6 Umeå University
7 Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, Dübendorf, 8600, Switzerland
8 UFZ - Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research
9 IBP - Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich]
10 UR - Université de Rennes
11 LERES - Laboratoire d'étude et de recherche en environnement et santé
12 EHESP - École des Hautes Études en Santé Publique [EHESP]
13 DEESSE - Département des sciences en santé environnementale
14 Bavarian Environment Agency (LfU)
15 UA - University of Antwerp
16 IPREM - Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux
17 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer
18 BAM - Federal Institute for Materials Research and Testing - Bundesanstalt für Materialforschung und -prüfung
19 Aarhus University [Aarhus]
20 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
21 Istituto di Ricerche Farmacologiche "Mario Negri"
22 UPV/EHU - University of the Basque Country
23 Catalan Institute for Water Research (ICRA)
24 UdG - Universitat de Girona
25 INSTITUTE OF ENVIRONMENTAL ASSESSMENT AND WATER RESEARCH SPANISH COUNCIL FOR SCIENTIFIC RESEARCH BARCELONA ESP
26 LEESA - Laboratoire d'Ecophysiologie et Ecotoxicologie des Systèmes Aquatiques
27 BFG FEDERAL INSTITUTE OF HYDROLOGY KOBLENZ DEU
28 Métabolomique (Plate-forme) – Metabolomics core facility
29 VITO - Flemish Institute for Technological Research
30 Fraunhofer IME - Fraunhofer Institute for Molecular Biology and Applied Ecology
2 Irset - Institut de recherche en santé, environnement et travail
3 NKUA - National and Kapodistrian University of Athens
4 Department of Environmental Science, Stockholm University, SE-10691 Stockholm, Sweden
5 Stockholm University
6 Umeå University
7 Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, Dübendorf, 8600, Switzerland
8 UFZ - Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research
9 IBP - Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich]
10 UR - Université de Rennes
11 LERES - Laboratoire d'étude et de recherche en environnement et santé
12 EHESP - École des Hautes Études en Santé Publique [EHESP]
13 DEESSE - Département des sciences en santé environnementale
14 Bavarian Environment Agency (LfU)
15 UA - University of Antwerp
16 IPREM - Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux
17 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer
18 BAM - Federal Institute for Materials Research and Testing - Bundesanstalt für Materialforschung und -prüfung
19 Aarhus University [Aarhus]
20 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
21 Istituto di Ricerche Farmacologiche "Mario Negri"
22 UPV/EHU - University of the Basque Country
23 Catalan Institute for Water Research (ICRA)
24 UdG - Universitat de Girona
25 INSTITUTE OF ENVIRONMENTAL ASSESSMENT AND WATER RESEARCH SPANISH COUNCIL FOR SCIENTIFIC RESEARCH BARCELONA ESP
26 LEESA - Laboratoire d'Ecophysiologie et Ecotoxicologie des Systèmes Aquatiques
27 BFG FEDERAL INSTITUTE OF HYDROLOGY KOBLENZ DEU
28 Métabolomique (Plate-forme) – Metabolomics core facility
29 VITO - Flemish Institute for Technological Research
30 Fraunhofer IME - Fraunhofer Institute for Molecular Biology and Applied Ecology
Sofia Lindblad
- Function : Author
- PersonId : 1299779
- ORCID : 0000-0002-8842-9340
Reza Aalizadeh
- Function : Author
- PersonId : 1187598
- ORCID : 0000-0001-9167-9060
Maria-Christina Nika
- Function : Author
- PersonId : 1299780
- ORCID : 0000-0003-0050-8923
Nikolaos Thomaidis
- Function : Author
- PersonId : 1187671
- ORCID : 0000-0002-4624-4735
Arthur David
- Function : Author
- PersonId : 16904
- IdHAL : david-arthur
- ORCID : 0000-0001-8189-1826
- IdRef : 135490790
André Macherius
- Function : Author
- PersonId : 1299781
- ORCID : 0000-0003-1229-511X
Hugues Preud'Homme
- Function : Author
- PersonId : 14500
- IdHAL : hugues-preudhomme
- ORCID : 0000-0003-2943-9925
- IdRef : 077011457
Yann Aminot
- Function : Author
- PersonId : 778022
- ORCID : 0000-0002-6507-9261
- IdRef : 176302697
Carsten Jaeger
- Function : Author
- PersonId : 1299783
- ORCID : 0000-0003-2192-1792
Jan Lisec
- Function : Author
- PersonId : 1299784
- ORCID : 0000-0003-1220-2286
Martin Hansen
- Function : Author
- PersonId : 1208293
- ORCID : 0000-0002-4663-8742
Katrin Vorkamp
- Function : Author
- PersonId : 1229961
- ORCID : 0000-0002-1131-5687
Claudio Roscioli
- Function : Author
- PersonId : 1299785
- ORCID : 0000-0002-0857-4143
Sara Valsecchi
- Function : Author
- PersonId : 792358
- ORCID : 0000-0003-2200-3475
Belén González
- Function : Author
- PersonId : 1299786
- ORCID : 0000-0003-1497-9486
Sara Rodriguez-Mozaz
- Function : Author
- PersonId : 1299787
- ORCID : 0000-0003-2962-8144
Hélène Budzinski
- Function : Author
- PersonId : 178654
- IdHAL : helene-budzinski
- ORCID : 0000-0001-5282-9011
- IdRef : 070478090
Heinz Rüdel
- Function : Author
- PersonId : 1187654
- ORCID : 0000-0002-4175-4787
Lutz Ahrens
- Function : Author
- PersonId : 1283237
- ORCID : 0000-0002-5430-6764
Abstract
A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high esolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9-69% of spiked compounds using LC-HRMS and 20-60% of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants’ own suspect lists led to putative identification of on average ~145 and ~20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening entified on average ~42 and ~56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (KOW) values ranging from -9.9 to 16 and mass-to-char ge ratio (m/z)
of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log KOW and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples
Origin : Publisher files allowed on an open archive
Licence : CC BY - Attribution
Licence : CC BY - Attribution
