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

Authors: Dürig, Wiebke; Lindblad, Sofia; Golovko, Oksana; Gkotsis, Georgios; Aalizadeh, Reza; Nika, Maria-Christina; Thomaidis, Nikolaos; +37 Authors

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.

Countries
Spain, Italy, Belgium, France, Greece, Spain, Sweden
Keywords

[SDE] Environmental Sciences, 570, LC-HRMS, GC-HRMS, 610, biota, http://metadata.un.org/sdg/3, exposome, suspect and non-target analysis, Gas Chromatography-Mass Spectrometry, Mass Spectrometry, Analytical Chemistry, Analytisk kemi, Animals, Humans, GE1-350, Biology, Ensure healthy lives and promote well-being for all at all ages, collaborative trial, Fishes, Miljövetenskap, Biota, Environmental sciences, Chemistry, Exposome, Suspect and non-target analysis, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDE]Environmental Sciences, Collaborative trial, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Environmental Sciences, Environmental Monitoring, Chromatography, Liquid

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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