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Record W4414040709 · doi:10.1139/er-2025-0116

The interplay of per- and polyfluoroalkyl substances (PFAS) uptake, translocation, and toxicity in plants: a critical review

2025· review· en· W4414040709 on OpenAlexvenueno aff
Piyush Malaviya, Asha Singh, Anamika Sharma

Bibliographic record

VenueEnvironmental Reviews · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
Fundersnot available
KeywordsBioaccumulationPhytoremediationEnvironmental remediationToxicityPersistence (discontinuity)

Abstract

fetched live from OpenAlex

Per- and polyfluoroalkyl substances (PFAS) constitute a large, multifaceted group of synthetic fluorinated compounds present in a wide range of applications such as healthcare, households, industries, and electronic gadgets. The high persistence and bioaccumulation potential of these substances in the environment have raised significant concerns. The recalcitrant nature and high mobility make their remediation almost impossible. The rate of PFAS uptake, transformation, and accumulation varies among different plant parts and is influenced by ambient variables, compound-specific properties, plant species, and other competing factors. The primary objective of this review is to critically evaluate current research on the uptake, accumulation, translocation, and distribution of PFAS by various plant species. Mechanisms involved in the degradation and uptake of PFAS are also discussed in detail. The present review aims to provide a state-of-the-art overview of the toxicity and defence mechanisms of plants triggered by PFAS at physiological, biochemical, and molecular levels, thereby improving research prospects for phytoremediation of PFAS and enhancing plants' ability to hyperaccumulate PFAS.

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.

How this classification was reachedexpand

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.349
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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