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Abstract

Most environmental monitoring studies of contaminants of emerging concern (CECs) focus on aquatic species and target specific classes of CECs. Even with wide-scope target screening methods, relevant CECs may be missed. In this study, non-target screening (NTS) was used for tentative identification of potential CECs in muscle tissue of the terrestrial top predator Eurasian lynx (Lynx lynx). Temporal trend analysis was applied as a prioritisation tool for archived samples, using univariate statistical tests (Mann-Kendall and Spearman rank). Pooled lynx muscle tissue collected from 1969 to 2017 was analysed with an eight-point time series using a previously validated screening workflow. Following peak detection, peak alignment, and blank subtraction, 12,941 features were considered for statistical analysis. Prioritisation by time-trend analysis detected 104 and 61 features with statistically significant increasing and decreasing trends, respectively. Following probable molecular formula assignment and elucidation with MetFrag, two compounds with increasing trends, and one with a decreasing trend, were tentatively identified. These results show that, despite low expected concentration levels and high matrix effects in terrestrial species, it is possible to prioritise CECs in archived lynx samples using NTS and univariate statistical approaches.

Keywords

Non-target analysis; Environmental specimen bank; lynx; LC-QToF-MS; Temporal trend analysis

Published in

Science of the Total Environment
2022, volume: 817, article number: 153035
Publisher: ELSEVIER

SLU Authors

UKÄ Subject classification

Environmental Sciences

Publication identifier

  • DOI: https://doi.org/10.1016/j.scitotenv.2022.153035

Permanent link to this page (URI)

https://res.slu.se/id/publ/116549