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Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry

Highly polar trace organic compounds, which are persistent, mobile, and toxic (PMT) or are very persistent and very mobile (vPvM) in the aquatic environment, may pose a risk to surface water, ground water, and drinking water supplies. Despite the advances in liquid chromatography-mass spectrometry,...

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Autores principales: Minkus, Susanne, Grosse, Sylvia, Bieber, Stefan, Veloutsou, Sofia, Letzel, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206052/
https://www.ncbi.nlm.nih.gov/pubmed/32488388
http://dx.doi.org/10.1007/s00216-020-02743-0
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author Minkus, Susanne
Grosse, Sylvia
Bieber, Stefan
Veloutsou, Sofia
Letzel, Thomas
author_facet Minkus, Susanne
Grosse, Sylvia
Bieber, Stefan
Veloutsou, Sofia
Letzel, Thomas
author_sort Minkus, Susanne
collection PubMed
description Highly polar trace organic compounds, which are persistent, mobile, and toxic (PMT) or are very persistent and very mobile (vPvM) in the aquatic environment, may pose a risk to surface water, ground water, and drinking water supplies. Despite the advances in liquid chromatography-mass spectrometry, there often exists an analytical blind spot when it comes to very polar chemicals. This study seeks to make a broad polarity range analytically accessible by means of serially coupling reversed-phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) to high-resolution mass spectrometry (HRMS). Moreover, a workflow is presented using optimized data processing of nontarget screening (NTS) data and subsequently generating candidate lists for the identification of very polar molecules via an open-access NTS platform and implemented compound database. First, key input parameters and filters of the so-called feature extraction algorithms were identified, and numerical performance indicators were defined to systematically optimize the data processing method. Second, all features from the very polar HILIC elution window were uploaded to the STOFF-IDENT database as part of the FOR-IDENT open-access NTS platform, which contains additional physicochemical information, and the features matched with potential compounds by their accurate mass. The hit list was filtered for compounds with a negative log D value, indicating that they were (very) polar. For instance, 46 features were assigned to 64 candidate compounds originating from a set of 33 samples from the Isar river in Germany. Three PMT candidates (e.g., guanylurea, melamine, and 1,3-dimethylimidazolidin-2-one) were illustratively validated using the respective reference standards. In conclusion, these findings demonstrate that polarity-extended chromatography reproducibly retards and separates (very) polar compounds from surface waters. These findings further indicate that a transparent and robust data processing workflow for nontarget screening data is available for addressing new (very) polar substances in the aqueous environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-020-02743-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-82060522021-07-01 Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry Minkus, Susanne Grosse, Sylvia Bieber, Stefan Veloutsou, Sofia Letzel, Thomas Anal Bioanal Chem Research Paper Highly polar trace organic compounds, which are persistent, mobile, and toxic (PMT) or are very persistent and very mobile (vPvM) in the aquatic environment, may pose a risk to surface water, ground water, and drinking water supplies. Despite the advances in liquid chromatography-mass spectrometry, there often exists an analytical blind spot when it comes to very polar chemicals. This study seeks to make a broad polarity range analytically accessible by means of serially coupling reversed-phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) to high-resolution mass spectrometry (HRMS). Moreover, a workflow is presented using optimized data processing of nontarget screening (NTS) data and subsequently generating candidate lists for the identification of very polar molecules via an open-access NTS platform and implemented compound database. First, key input parameters and filters of the so-called feature extraction algorithms were identified, and numerical performance indicators were defined to systematically optimize the data processing method. Second, all features from the very polar HILIC elution window were uploaded to the STOFF-IDENT database as part of the FOR-IDENT open-access NTS platform, which contains additional physicochemical information, and the features matched with potential compounds by their accurate mass. The hit list was filtered for compounds with a negative log D value, indicating that they were (very) polar. For instance, 46 features were assigned to 64 candidate compounds originating from a set of 33 samples from the Isar river in Germany. Three PMT candidates (e.g., guanylurea, melamine, and 1,3-dimethylimidazolidin-2-one) were illustratively validated using the respective reference standards. In conclusion, these findings demonstrate that polarity-extended chromatography reproducibly retards and separates (very) polar compounds from surface waters. These findings further indicate that a transparent and robust data processing workflow for nontarget screening data is available for addressing new (very) polar substances in the aqueous environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-020-02743-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-06-02 2020 /pmc/articles/PMC8206052/ /pubmed/32488388 http://dx.doi.org/10.1007/s00216-020-02743-0 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Minkus, Susanne
Grosse, Sylvia
Bieber, Stefan
Veloutsou, Sofia
Letzel, Thomas
Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title_full Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title_fullStr Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title_full_unstemmed Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title_short Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
title_sort optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206052/
https://www.ncbi.nlm.nih.gov/pubmed/32488388
http://dx.doi.org/10.1007/s00216-020-02743-0
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