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Target and Suspect Screening Integrated with Machine Learning to Discover Per- and Polyfluoroalkyl Substance Source Fingerprints.
Joseph, Nayantara T; Schwichtenberg, Trever; Cao, Dunping; Jones, Gerrad D; Rodowa, Alix E; Barlaz, Morton A; Charbonnet, Joseph A; Higgins, Christopher P; Field, Jennifer A; Helbling, Damian E.
Affiliation
  • Joseph NT; School of Civil and Environmental Engineering, Cornell University, Ithaca, New York 14853, United States.
  • Schwichtenberg T; Chemistry Department, Oregon State University, Corvallis, Oregon 97331, United States.
  • Cao D; Chemistry Department, Oregon State University, Corvallis, Oregon 97331, United States.
  • Jones GD; Department of Biological & Ecological Engineering, Oregon State University, Corvallis, Oregon 97331, United States.
  • Rodowa AE; National Institutes of Standards and Technology, Gaithersburg, Maryland 20899, United States.
  • Barlaz MA; Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.
  • Charbonnet JA; Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, Iowa 50011, United States.
  • Higgins CP; Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado 80401, United States.
  • Field JA; Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado 80401, United States.
  • Helbling DE; Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon 97331, United States.
Environ Sci Technol ; 57(38): 14351-14362, 2023 09 26.
Article in En | MEDLINE | ID: mdl-37696050

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Fluorocarbons Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Environ Sci Technol Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Fluorocarbons Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Environ Sci Technol Year: 2023 Type: Article Affiliation country: United States