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FluoroMatch 2.0-making automated and comprehensive non-targeted PFAS annotation a reality.
Koelmel, Jeremy P; Stelben, Paul; McDonough, Carrie A; Dukes, David A; Aristizabal-Henao, Juan J; Nason, Sara L; Li, Yang; Sternberg, Sandi; Lin, Elizabeth; Beckmann, Manfred; Williams, Antony J; Draper, John; Finch, Jasen P; Munk, Jens K; Deigl, Chris; Rennie, Emma E; Bowden, John A; Godri Pollitt, Krystal J.
Afiliação
  • Koelmel JP; School of Public Health, Yale University, New Haven, CT, USA.
  • Stelben P; School of Public Health, Yale University, New Haven, CT, USA.
  • McDonough CA; Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Dukes DA; Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Aristizabal-Henao JJ; Center for Environmental and Human Toxicology & Department of Physiological Sciences, University of Florida, Gainesville, FL, USA.
  • Nason SL; Departments of Environmental Sciences and Analytical Chemistry, The Connecticut Agricultural Experiment Station, New Haven, CT, USA.
  • Li Y; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
  • Sternberg S; Innovative Omics Inc., Sarasota, FL, USA.
  • Lin E; School of Public Health, Yale University, New Haven, CT, USA.
  • Beckmann M; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3FL, UK.
  • Williams AJ; Center for Computational Toxicology and Exposure, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, Durham, NC, 27711, USA.
  • Draper J; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3FL, UK.
  • Finch JP; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3FL, UK.
  • Munk JK; Department of Clinical Biochemistry, Amager and Hvidovre Hospital, 2650, Hvidovre, Denmark.
  • Deigl C; SynQuest Laboratories, Alachua, FL, USA.
  • Rennie EE; Agilent Technologies Inc., Santa Clara, CA, USA.
  • Bowden JA; Center for Environmental and Human Toxicology & Department of Physiological Sciences, University of Florida, Gainesville, FL, USA. john.bowden@ufl.edu.
  • Godri Pollitt KJ; Department of Chemistry, University of Florida, Gainesville, FL, USA. john.bowden@ufl.edu.
Anal Bioanal Chem ; 414(3): 1201-1215, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34014358
Because of the pervasiveness, persistence, and toxicity of per- and polyfluoroalkyl substances (PFAS), there is growing concern over PFAS contamination, exposures, and health effects. The diversity of potential PFAS is astounding, with nearly 10,000 PFAS catalogued in databases to date (and growing). The ability to detect the thousands of known PFAS, and discover previously uncatalogued PFAS, is necessary to understand the scope of PFAS contamination and to identify appropriate remediation and regulatory solutions. Current non-targeted methods for PFAS analysis require manual curation and are time-consuming, prone to error, and not comprehensive. FluoroMatch Flow 2.0 is the first software to cover all steps of data processing for PFAS discovery in liquid chromatography-high-resolution tandem mass spectrometry samples. These steps include feature detection, feature blank filtering, exact mass matching to catalogued PFAS, mass defect filtering, homologous series detection, retention time pattern analysis, class-based MS/MS screening, fragment screening, and predicted MS/MS from SMILES structures. In addition, a comprehensive confidence level criterion is implemented to help users understand annotation certainty and integrate various layers of evidence to reduce overreporting. Applying the software to aqueous film forming foam analysis, we discovered over one thousand likely PFAS including previously unreported species. Furthermore, we were able to filter out 96% of features which were likely not PFAS. FluoroMatch Flow 2 increased coverage of likely PFAS by over tenfold compared to the previous release. This software will enable researchers to better characterize PFAS in the environment and in biological systems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Monitoramento Ambiental / Poluentes Ambientais / Espectrometria de Massas em Tandem / Fluorocarbonos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Monitoramento Ambiental / Poluentes Ambientais / Espectrometria de Massas em Tandem / Fluorocarbonos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article