Quantification and characterization of PFASs in suspended particulate matter (SPM) of German rivers using EOF, dTOPA, (non-)target HRMS.

Extractable organically bound fluorine (EOF) Fluorine High resolution-continuum source-graphite furnace molecular absorption spectrometry (HR-CS-GFMAS) Non-target screening (NTS) Per- and polyfluoroalkyl substances (PFASs) Suspended particulate matter (SPM) Total oxidizable precursor assay (TOPA) UHPLC-HRMS

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Aug 2023
Historique:
received: 04 11 2022
revised: 20 04 2023
accepted: 22 04 2023
medline: 1 5 2023
pubmed: 1 5 2023
entrez: 30 4 2023
Statut: ppublish

Résumé

In this study, we compare analytical methods for PFAS determination-target analysis, non-target screening (NTS), direct total oxidizable precursor assay (dTOPA) and extractable organically bound fluorine (EOF). Therefore, suspended particulate matter (SPM) samples from German rivers at different locations in time series from 2005 to 2020 were analyzed to investigate temporal and spatially resolved trends. In this study 3 PFAS mass balances approaches were utilized: (i) PFAA target vs. PFAS dTOPA, (ii) PFAS target vs. EOF and (iii) PFAS target vs. PFAS dTOPA vs. organofluorines NTS vs. EOF. Mass balance approach (i) revealed high proportions of precursor substances in SPM samples. For the time resolved analysis an increase from 94% (2005) to 97% in 2019 was observable. Also for the spatial resolved analysis precursor proportions were high with >84% at all sampling sites. Mass balance approach (ii) showed that the unidentified EOF (uEOF) fraction increased over time from 82% (2005) to 99% (2019). Furthermore, along the river courses the uEOF increased. In the combined mass balance approach (iii) using 4 different analytical approaches EOF fractions were further unraveled. The EOF pattern was fully explainable at the sampling sites at Saar and Elbe rivers. For the time resolved analysis, an increased proportion of the EOF was now explainable. However, still 27% of the EOF for the time resolved analysis and 25% of the EOF for the spatial resolved analysis remained unknown. Therefore, in a complementary approach, both the EOF and dTOPA reveal unknown gaps in the PFAS mass balance and are valuable contributions to PFAS risk assessment. Further research is needed to identify organofluorines summarized in the EOF parameter.

Identifiants

pubmed: 37121317
pii: S0048-9697(23)02374-4
doi: 10.1016/j.scitotenv.2023.163753
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163753

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Fabian Simon (F)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany.

Lennart Gehrenkemper (L)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany.

Susanne Becher (S)

Federal Institute of Hydrology (BfG), Department G2 - Aquatic Chemistry, 56068 Koblenz, Germany.

Georg Dierkes (G)

Federal Institute of Hydrology (BfG), Department G2 - Aquatic Chemistry, 56068 Koblenz, Germany.

Nicole Langhammer (N)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany.

Antje Cossmer (A)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany.

Marcus von der Au (M)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany.

Bernd Göckener (B)

Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), 57392 Schmallenberg, Germany.

Annette Fliedner (A)

Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), 57392 Schmallenberg, Germany.

Heinz Rüdel (H)

Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), 57392 Schmallenberg, Germany.

Jan Koschorreck (J)

German Environment Agency (UBA), 06813 Dessau-Rosslau, Germany.

Björn Meermann (B)

Federal Institute for Materials Research and Testing (BAM), Division 1.1 - Inorganic Trace Analysis, 12489 Berlin, Germany. Electronic address: bjoern.meermann@bam.de.

Classifications MeSH