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Implementing the Use of Collision Cross Section Database for Phycotoxin Screening Analysis
[Image: see text] The increased consumption of blue-green algae (BGA)-based dietary supplements has raised concern about their food safety, especially about cyanotoxin presence. The hyphenation of liquid chromatography with ion mobility mass spectrometry represents a relevant tool to screen several...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326910/ https://www.ncbi.nlm.nih.gov/pubmed/37347990 http://dx.doi.org/10.1021/acs.jafc.3c01060 |
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author | Aparicio-Muriana, Maria Mar Bruni, Renato Lara, Francisco J. del Olmo-Iruela, Monsalud Hernandez-Mesa, Maykel García-Campaña, Ana M. Dall’Asta, Chiara Righetti, Laura |
author_facet | Aparicio-Muriana, Maria Mar Bruni, Renato Lara, Francisco J. del Olmo-Iruela, Monsalud Hernandez-Mesa, Maykel García-Campaña, Ana M. Dall’Asta, Chiara Righetti, Laura |
author_sort | Aparicio-Muriana, Maria Mar |
collection | PubMed |
description | [Image: see text] The increased consumption of blue-green algae (BGA)-based dietary supplements has raised concern about their food safety, especially about cyanotoxin presence. The hyphenation of liquid chromatography with ion mobility mass spectrometry represents a relevant tool to screen several compounds in a large variety of food matrices. In this work, ultrahigh-performance liquid chromatography coupled to traveling wave ion mobility spectrometry/quadrupole time-of-flight mass spectrometry (UHPLC-TWIMS-QTOF) was employed to establish the first comprehensive TWIMS-derived collision cross section database ((TW)CCS(N2)) for phycotoxins. The database included 20 cyanotoxins and 1 marine toxin. Accurate m/z, retention times, and (TW)CCS(N2) values were obtained for 81 adducts in positive and negative electrospray (ESI(+)/ESI(–)) modes. Reproducibility and robustness of the (TW)CCS(N2) measurements were determined to be independent of the matrix. A screening was carried out on 19 commercial BGA dietary supplements of different composition. Cyanotoxins were confidently identified in five samples based on retention time, m/z, and (TW)CCS(N2). |
format | Online Article Text |
id | pubmed-10326910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103269102023-07-08 Implementing the Use of Collision Cross Section Database for Phycotoxin Screening Analysis Aparicio-Muriana, Maria Mar Bruni, Renato Lara, Francisco J. del Olmo-Iruela, Monsalud Hernandez-Mesa, Maykel García-Campaña, Ana M. Dall’Asta, Chiara Righetti, Laura J Agric Food Chem [Image: see text] The increased consumption of blue-green algae (BGA)-based dietary supplements has raised concern about their food safety, especially about cyanotoxin presence. The hyphenation of liquid chromatography with ion mobility mass spectrometry represents a relevant tool to screen several compounds in a large variety of food matrices. In this work, ultrahigh-performance liquid chromatography coupled to traveling wave ion mobility spectrometry/quadrupole time-of-flight mass spectrometry (UHPLC-TWIMS-QTOF) was employed to establish the first comprehensive TWIMS-derived collision cross section database ((TW)CCS(N2)) for phycotoxins. The database included 20 cyanotoxins and 1 marine toxin. Accurate m/z, retention times, and (TW)CCS(N2) values were obtained for 81 adducts in positive and negative electrospray (ESI(+)/ESI(–)) modes. Reproducibility and robustness of the (TW)CCS(N2) measurements were determined to be independent of the matrix. A screening was carried out on 19 commercial BGA dietary supplements of different composition. Cyanotoxins were confidently identified in five samples based on retention time, m/z, and (TW)CCS(N2). American Chemical Society 2023-06-22 /pmc/articles/PMC10326910/ /pubmed/37347990 http://dx.doi.org/10.1021/acs.jafc.3c01060 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Aparicio-Muriana, Maria Mar Bruni, Renato Lara, Francisco J. del Olmo-Iruela, Monsalud Hernandez-Mesa, Maykel García-Campaña, Ana M. Dall’Asta, Chiara Righetti, Laura Implementing the Use of Collision Cross Section Database for Phycotoxin Screening Analysis |
title | Implementing the
Use of Collision Cross Section Database
for Phycotoxin Screening Analysis |
title_full | Implementing the
Use of Collision Cross Section Database
for Phycotoxin Screening Analysis |
title_fullStr | Implementing the
Use of Collision Cross Section Database
for Phycotoxin Screening Analysis |
title_full_unstemmed | Implementing the
Use of Collision Cross Section Database
for Phycotoxin Screening Analysis |
title_short | Implementing the
Use of Collision Cross Section Database
for Phycotoxin Screening Analysis |
title_sort | implementing the
use of collision cross section database
for phycotoxin screening analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326910/ https://www.ncbi.nlm.nih.gov/pubmed/37347990 http://dx.doi.org/10.1021/acs.jafc.3c01060 |
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