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A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water
Among natural freshwater pollutants, cyanotoxins, mycotoxins, and phytotoxins are the most important and less studied. Their identification in surface water is challenging especially cause of the lack of standards and established analytical parameters. Most target methods focus one or a single group...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374265/ https://www.ncbi.nlm.nih.gov/pubmed/34434806 http://dx.doi.org/10.1016/j.mex.2021.101286 |
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author | Picardo, M. Núñez, O Farré, M. |
author_facet | Picardo, M. Núñez, O Farré, M. |
author_sort | Picardo, M. |
collection | PubMed |
description | Among natural freshwater pollutants, cyanotoxins, mycotoxins, and phytotoxins are the most important and less studied. Their identification in surface water is challenging especially cause of the lack of standards and established analytical parameters. Most target methods focus one or a single group of compounds with similar characteristics. Here we present an AIF fast method for the tentative identification of natural toxins in water. Respect to the previous method [1], it offers higher performances for the acquisition of unknown compounds at low levels for higher number of analytes. The key aspects of the method are: • The qualitative screening DIA-AIF workflow using Q Exactive Orbitrap. Both targeted and suspect screening bases have been combined with online databases and suspect list to retrieve candidates as suspect natural toxins and their metabolites or degradation products. • The in-silico analysis of mass spectrums allowed a fast structural characterization. • The workflow has been finally applied to real samples coming from the Czech Republic, Italy, and Spain allowing the determination of 17 suspect natural toxins, 4 of them confirmed. None toxin passed the limit of 1 µg/L taken from the legislation applied for microcystin LR and arbitrarily extended to all toxins. |
format | Online Article Text |
id | pubmed-8374265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83742652021-08-24 A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water Picardo, M. Núñez, O Farré, M. MethodsX Method Article Among natural freshwater pollutants, cyanotoxins, mycotoxins, and phytotoxins are the most important and less studied. Their identification in surface water is challenging especially cause of the lack of standards and established analytical parameters. Most target methods focus one or a single group of compounds with similar characteristics. Here we present an AIF fast method for the tentative identification of natural toxins in water. Respect to the previous method [1], it offers higher performances for the acquisition of unknown compounds at low levels for higher number of analytes. The key aspects of the method are: • The qualitative screening DIA-AIF workflow using Q Exactive Orbitrap. Both targeted and suspect screening bases have been combined with online databases and suspect list to retrieve candidates as suspect natural toxins and their metabolites or degradation products. • The in-silico analysis of mass spectrums allowed a fast structural characterization. • The workflow has been finally applied to real samples coming from the Czech Republic, Italy, and Spain allowing the determination of 17 suspect natural toxins, 4 of them confirmed. None toxin passed the limit of 1 µg/L taken from the legislation applied for microcystin LR and arbitrarily extended to all toxins. Elsevier 2021-02-22 /pmc/articles/PMC8374265/ /pubmed/34434806 http://dx.doi.org/10.1016/j.mex.2021.101286 Text en © 2021 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Method Article Picardo, M. Núñez, O Farré, M. A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title | A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title_full | A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title_fullStr | A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title_full_unstemmed | A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title_short | A data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
title_sort | data independent acquisition all ion fragmentation mode tool for the suspect screening of natural toxins in surface water |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374265/ https://www.ncbi.nlm.nih.gov/pubmed/34434806 http://dx.doi.org/10.1016/j.mex.2021.101286 |
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