Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS)
Abstract As the occurrence of human diseases and conditions increase, questions continue to arise about their linkages to chemical exposure, especially for per-and polyfluoroalkyl substances (PFAS). Currently, many chemicals of concern have limited experimental information available for their use in...
Saved in:
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-024-04363-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832586037368455168 |
---|---|
author | Kara M. Joseph Anna K. Boatman James N. Dodds Kaylie I. Kirkwood-Donelson Jack P. Ryan Jian Zhang Paul A. Thiessen Evan E. Bolton Alan Valdiviezo Yelena Sapozhnikova Ivan Rusyn Emma L. Schymanski Erin S. Baker |
author_facet | Kara M. Joseph Anna K. Boatman James N. Dodds Kaylie I. Kirkwood-Donelson Jack P. Ryan Jian Zhang Paul A. Thiessen Evan E. Bolton Alan Valdiviezo Yelena Sapozhnikova Ivan Rusyn Emma L. Schymanski Erin S. Baker |
author_sort | Kara M. Joseph |
collection | DOAJ |
description | Abstract As the occurrence of human diseases and conditions increase, questions continue to arise about their linkages to chemical exposure, especially for per-and polyfluoroalkyl substances (PFAS). Currently, many chemicals of concern have limited experimental information available for their use in analytical assessments. Here, we aim to increase this knowledge by providing the scientific community with multidimensional characteristics for 175 PFAS and their resulting 281 ion types. Using a platform coupling reversed-phase liquid chromatography (RPLC), electrospray ionization (ESI) or atmospheric pressure chemical ionization (APCI), drift tube ion mobility spectrometry (IMS), and mass spectrometry (MS), the retention times, collision cross section (CCS) values, and m/z ratios were determined for all analytes and assembled into an openly available multidimensional dataset. This information will provide the scientific community with essential characteristics to expand analytical assessments of PFAS and augment machine learning training sets for discovering new PFAS. |
format | Article |
id | doaj-art-191ce34db0c74603a4ad41b7516d54c0 |
institution | Kabale University |
issn | 2052-4463 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Data |
spelling | doaj-art-191ce34db0c74603a4ad41b7516d54c02025-01-26T12:15:01ZengNature PortfolioScientific Data2052-44632025-01-0112111110.1038/s41597-024-04363-0Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS)Kara M. Joseph0Anna K. Boatman1James N. Dodds2Kaylie I. Kirkwood-Donelson3Jack P. Ryan4Jian Zhang5Paul A. Thiessen6Evan E. Bolton7Alan Valdiviezo8Yelena Sapozhnikova9Ivan Rusyn10Emma L. Schymanski11Erin S. Baker12Department of Chemistry, University of North Carolina at Chapel HillDepartment of Chemistry, University of North Carolina at Chapel HillDepartment of Chemistry, University of North Carolina at Chapel HillImmunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health SciencesDepartment of Chemistry, University of North Carolina at Chapel HillNational Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthNational Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthNational Center for Biotechnology Information, National Library of Medicine, National Institutes of HealthInterdisciplinary Faculty of Toxicology, Texas A&M UniversityAgricultural Research Service, U.S Department of AgricultureInterdisciplinary Faculty of Toxicology, Texas A&M UniversityLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du SwingDepartment of Chemistry, University of North Carolina at Chapel HillAbstract As the occurrence of human diseases and conditions increase, questions continue to arise about their linkages to chemical exposure, especially for per-and polyfluoroalkyl substances (PFAS). Currently, many chemicals of concern have limited experimental information available for their use in analytical assessments. Here, we aim to increase this knowledge by providing the scientific community with multidimensional characteristics for 175 PFAS and their resulting 281 ion types. Using a platform coupling reversed-phase liquid chromatography (RPLC), electrospray ionization (ESI) or atmospheric pressure chemical ionization (APCI), drift tube ion mobility spectrometry (IMS), and mass spectrometry (MS), the retention times, collision cross section (CCS) values, and m/z ratios were determined for all analytes and assembled into an openly available multidimensional dataset. This information will provide the scientific community with essential characteristics to expand analytical assessments of PFAS and augment machine learning training sets for discovering new PFAS.https://doi.org/10.1038/s41597-024-04363-0 |
spellingShingle | Kara M. Joseph Anna K. Boatman James N. Dodds Kaylie I. Kirkwood-Donelson Jack P. Ryan Jian Zhang Paul A. Thiessen Evan E. Bolton Alan Valdiviezo Yelena Sapozhnikova Ivan Rusyn Emma L. Schymanski Erin S. Baker Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) Scientific Data |
title | Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) |
title_full | Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) |
title_fullStr | Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) |
title_full_unstemmed | Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) |
title_short | Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) |
title_sort | multidimensional library for the improved identification of per and polyfluoroalkyl substances pfas |
url | https://doi.org/10.1038/s41597-024-04363-0 |
work_keys_str_mv | AT karamjoseph multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT annakboatman multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT jamesndodds multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT kaylieikirkwooddonelson multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT jackpryan multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT jianzhang multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT paulathiessen multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT evanebolton multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT alanvaldiviezo multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT yelenasapozhnikova multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT ivanrusyn multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT emmalschymanski multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas AT erinsbaker multidimensionallibraryfortheimprovedidentificationofperandpolyfluoroalkylsubstancespfas |