To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Identification of contaminants of emerging concern through temporal trend analysis of suspended particulate matter in the Rhine River catchments (2005–2022): A Case Study using LC-HRMS to support early-warning systems
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden.ORCID iD: 0000-0002-4725-9189
Örebro University, School of Science and Technology. (Man-Technology-Environment Research Center (MTM))ORCID iD: 0000-0001-7869-4549
Örebro University, School of Science and Technology. (Man-Technology-Environment Research Center (MTM))ORCID iD: 0000-0001-7555-142x
Örebro University, School of Science and Technology. (Man-Technology-Environment Research Center (MTM))ORCID iD: 0000-0003-1404-3186
Show others and affiliations
2026 (English)In: Journal of Hazardous Materials, ISSN 0304-3894, E-ISSN 1873-3336, Vol. 503, article id 140993Article in journal (Refereed) Published
Abstract [en]

The continuous release of synthetic chemicals into aquatic systems underscores the need for long-term assessments of contaminants of emerging concern (CECs). Archived suspended particulate matter (SPM) samples from the German Environmental Specimen Bank (ESB) (2005–2022) at two Rhine sites (Weil am Rhein and Koblenz) were analyzed using liquid chromatography–high-resolution mass spectrometry (LC-HRMS) suspect/non-target screening (SS/NTS) to evaluate temporal trends. Using retention-time indices and orthogonal MS/MS evidence (mzCloud, FISh, CFM-ID), 332 compounds were identified at varying Schymanski confidence levels (2.1: 3.0%; 2.2: 5.7%; 3.1: 53%; 3.2: 38%). Temporal analysis of LC-HRMS peak areas revealed that 25% of contaminants increased over time, with a higher proportion at Koblenz (29%) than Weil (18%). Conversely, several compounds exhibited statistically significant decreasing trends at both Koblenz (14%) and Weil sites (13%), consistent with regulatory measures, improved wastewater treatment, and shifts in industrial practices. Aquatic toxicity prediction (ECOSAR) indicated that 47% (154 of 332) of annotated structures were highly acutely toxic (LC₅₀/EC₅₀ ≤ 1 mg/L) to at least one test group (fish, Daphnia, or green algae). This study provides the first 18-year, site-specific non-target time series from a national archive and integrating orthogonal identification with hazard prediction to support chemical prioritization. Archived SPM enables retrospective and comparable assessment of particle-associated contaminants, complementing dissolved-phase monitoring, and supporting the identification of unmonitored emerging CECs. Crucially, long-term NTS of these SPM samples provides screening-level early-warning signals and a watch list for targeted confirmation and risk management.

Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 503, article id 140993
Keywords [en]
Early-warning signals, High-resolution mass spectrometry, Suspect/non-target screening, Suspended particulate matters, Temporal trend analysis
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:oru:diva-126037DOI: 10.1016/j.jhazmat.2025.140993ISI: 001663979900001PubMedID: 41518800OAI: oai:DiVA.org:oru-126037DiVA, id: diva2:2025857
Funder
EU, Horizon Europe, 101057014Available from: 2026-01-08 Created: 2026-01-08 Last updated: 2026-01-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Selin, EricaKärrman, AnnaLarsson, MariaSödergren Seilitz, Fredric

Search in DiVA

By author/editor
Mottaghipisheh, JavadSelin, EricaKärrman, AnnaLarsson, MariaSödergren Seilitz, FredricKoschorreck, JanGöckener, Bernd
By organisation
School of Science and Technology
In the same journal
Journal of Hazardous Materials
Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 323 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf