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  4. What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS
 
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October 25, 2023
Journal Article
Title

What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS

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 resolution 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 identified 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 from - 9.9 to 16 and mass-to-charge ratios (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.
Author(s)
Dürig, Wiebke
Lindblad, Sofia
Golovko, Oksana
Gkotsis, Georgios
Aalizadeh, Reza
Nika, Maria-Christina
Thomaidis, Nikolaos
Alygizakis, Nikiforos A.
Plassmann, Merle
Haglund, Peter
Fu, Qiuguo
Hollender, Juliane
Chaker, Jade
David, Arthur
Kunkel, Uwe
Macherius, André
Belova, Lidia
Poma, Giulia
Preud'Homme, Hugues
Munschy, Catherine
Aminot, Yann
Jaeger, Carsten
Lisec, Jan
Hansen, Martin
Vorkamp, Katrin
Zhu, Linyan
Cappelli, Francesca
Roscioli, Claudio
Valsecchi, Sara
Bagnati, Renzo
González, Belén
Prieto, Ailette
Zuloaga, Olatz
Gil-Solsona, Ruben
Gago-Ferrero, Pablo
Rodriguez-Mozaz, Sara
Budzinski, Hélène
Devier, Marie-Helene
Dierkes, Georg
Boulard, Lise
Jacobs, Griet
Voorspoels, Stefan
Rüdel, Heinz  
Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie IME  
Ahrens, Lutz
Journal
Environment international  
Open Access
DOI
10.1016/j.envint.2023.108288
Additional link
Full text
Language
English
Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie IME  
Fraunhofer Group
Fraunhofer-Verbund Ressourcentechnologien und Bioökonomie  
Keyword(s)
  • Suspect and non-target analysis

  • Biota

  • LC-HRMS

  • GC-HRMS

  • Collaborative trial

  • Exposome

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