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Record W4413115367 · doi:10.1186/s40068-025-00411-9

PFAS in water environments: recent progress and challenges in monitoring, toxicity, treatment technologies, and post-treatment toxicity

2025· review· en· W4413115367 on OpenAlex
Aya Alsadik, Olufemi Oluseun Akintunde, Hamid R. Habibi, Gopal Achari

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueENVIRONMENTAL SYSTEMS RESEARCH · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsToxicitySewage treatmentBioassayEnvironmental scienceMedicineBiologyEnvironmental engineeringEcology

Abstract

fetched live from OpenAlex

There is growing awareness of the environmental presence of per- and polyfluoroalkyl substances (PFAS) and their harmful effects on animals and humans. Recent studies have revealed changes in human embryonic stem cells and maternal biomarkers, underscoring the severity and unpredictable outcomes associated with long-term exposure to PFAS. Monitoring efforts continually identify additional PFAS compounds worldwide, but a standardized and unified approach is still lacking. Traditional treatment methods such as adsorption and membrane filtration have been effective in removing 80–95% of PFAS from wastewater. However, complete removal of short-chain PFAS remains limited to a few recently developed techniques. The inability of advanced treatment methods to eliminate emerging short-chain and ultrashort-chain PFAS suggests the need for more integrated approaches that target all PFAS classes. Additionally, a few studies have discussed the potential toxicity outcomes of these treatments at both laboratory and full-scale levels. While advanced oxidative processes (AOPs) are rapidly gaining attention for degrading 90–100% of PFAS in sewage, it remains challenging to fully break down PFAS into non-toxic, mineralized products such as CO 2 and H 2 O due to the strong C-F bonds and the potential toxicity of by-products in post-treated wastewater. Standardized and reliable bioassays for assessing PFAS toxicity are still under development, and current predictive models linking molecular structure to human health effects are at an early stage. This review examines the emerging health and ecological risks associated with both legacy and novel PFAS, alongside recent advances and limitations in individual and combined treatment technologies for water and wastewater. Emphasis is placed on the potential toxicity of degradation products, highlighting the need for more integrated and comprehensive toxicity assessments to guide safer PFAS remediation strategies.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.143
GPT teacher head0.379
Teacher spread0.236 · 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