Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples
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 o...
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ftnkunivathens:oai:lib.uoa.gr:uoadl:3057316 2024-02-11T10:09:32+01:00 Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples Dürig, W. Alygizakis, N.A. Wiberg, K. Ahrens, L. 2022-01-01 https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057316 Αγγλικά English eng uoadl:3057316 https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057316 scientific_publication_article Επιστημονική δημοσίευση - Άρθρο Περιοδικού Scientific publication - Journal Article 2022 ftnkunivathens 2024-01-18T19:11:16Z 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. © 2022 The Authors Article in Journal/Newspaper Lynx Lynx lynx lynx Pergamos - Library and Information Center of National and Kapodistrian University of Athens Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
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Open Polar |
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Pergamos - Library and Information Center of National and Kapodistrian University of Athens |
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ftnkunivathens |
language |
English |
description |
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. © 2022 The Authors |
format |
Article in Journal/Newspaper |
author |
Dürig, W. Alygizakis, N.A. Wiberg, K. Ahrens, L. |
spellingShingle |
Dürig, W. Alygizakis, N.A. Wiberg, K. Ahrens, L. Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
author_facet |
Dürig, W. Alygizakis, N.A. Wiberg, K. Ahrens, L. |
author_sort |
Dürig, W. |
title |
Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
title_short |
Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
title_full |
Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
title_fullStr |
Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
title_full_unstemmed |
Application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (CECs) in archived lynx muscle tissue samples |
title_sort |
application of a novel prioritisation strategy using non-target screening for evaluation of temporal trends (1969–2017) of contaminants of emerging concern (cecs) in archived lynx muscle tissue samples |
publishDate |
2022 |
url |
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057316 |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_relation |
uoadl:3057316 https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057316 |
_version_ |
1790609459197771776 |