MétaCan
Menu
Back to cohort
Record W4410973276 · doi:10.1186/s12302-025-01124-7

Pre-regulatory actions as a driver for reduced PFAS emissions? Long-term trends and change points for human and environmental samples from Germany

2025· article· en· W4410973276 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Sciences Europe · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
FundersBundesinstitut für RisikobewertungUmweltbundesamtStockholms UniversitetHelmholtz-Zentrum für UmweltforschungUniversity of TorontoÖrebro UniversitetUniversität Trier
KeywordsTerm (time)Environmental scienceEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Abstract Per- and polyfluoroalkyl substances (PFAS) contamination is a long-term global problem for human health and the environment. Due to their hazardous properties and high risks to humans and the environment, certain PFAS such as perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) were phased out by their main manufacturers in the first decade of the 2000s and have been regulated on a regional and international scale by the Stockholm Convention. So far, the effectiveness of PFAS management—defined as the sum of all regulatory and voluntary actions—is not well understood. We conducted a comprehensive time trend analysis with samples from the German Environmental Specimen Bank dating back to the 1980s and early 1990s. These samples covered human samples (blood plasma) as well as samples from the terrestrial (deer liver), freshwater (bream muscle/liver, mussel soft tissue) and coastal environment (herring gull eggs). The aim of this study was to statistically assess the change points (CPs) of exposure and to quantify the changes before and after the CP in comparison with the evolving PFAS management. The analysis revealed remarkably similar CP estimates across human and environmental matrices investigated. The results show that the maximum concentrations of PFOS were already reached before (late 1990s) the announcement of the phase-out by their main manufacturer. These results are similar for all PFSA tested and indicate an earlier shift to PFAS substitutes than previously assumed. For PFCAs, CPs were generally later (mid-2000s to late 2000s), possibly due to later regulatory action on PFCAs and their preceding production shifts, respectively. In general, regulatory actions were introduced around 10 to 15 years after the respective CPs, which indicates market shifts for PFAS in anticipation of compound specific regulatory measures and not as a reaction to them and demonstrates the need for faster regulatory actions to effectively protect humans and the environment. Graphical Abstract

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.325
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it