Evidence map›Paper›PMID 41663795›Full record

ReviewAnalytical and bioanalytical chemistry2026

Recent advances in pretreatment technologies for the analysis of per- and polyfluoroalkyl substances.

Jin-Chi Jiang, Zhi-Yuan Feng, Long-Yue Meng, Biao Jin

Abstract readReview
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In one paragraph

Review in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jin-Chi JiangDepartment of Chemistry, College of Science, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.
Zhi-Yuan FengDepartment of Chemistry, College of Science, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.
Long-Yue MengDepartment of Chemistry, College of Science, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China. lymeng@ybu.edu.cn.
Biao JinAnalysis and Test Center, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China. jinbiao@ybu.edu.cn.ORCID http://orcid.org/0000-0002-9480-387X

Funding

Higher Education Discipline Innovation Project D18012National Natural Science Foundation of China 22064017National Natural Science Foundation of China 22166034
6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFASs) are persistent pollutants with shifting pollution characteristics toward short-chain and structurally diverse variants, posing great challenges for precise analysis. Pretreatment, as a rate-limiting step, lacks systematic guidance for technology selection. This review makes a unique contribution by constructing a "target substance characteristics-sample matrix-detection requirements" three-dimensional matching framework, systematically categorizing pretreatment technologies into solvent-based, adsorption-based, and advanced types, and dissecting their mechanisms, advantages, limitations, and applicability. Solvent-based technologies excel in long-chain PFASs analysis in simple matrices, while adsorption-based methods enable efficient enrichment of short-chain PFASs via functional materials, and advanced technologies meet green and complex matrix demands. Background contamination control strategies are also emphasized. Current challenges include inefficient short-chain enrichment, high material costs, and underdeveloped on-site devices. Critical needs involve the development of functional solvents, artificial intelligence-driven adsorbents, standardized protocols, and full-process PFASs-free systems. This review provides actionable references for PFASs analysis optimization.

Indexed as

Background contamination controlPFASsPretreatment technologiesSample preparation

Identifiers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.