Evidence map›Paper›PMID 41531190›Full record

ArticleJournal of the American Chemical Society2026

Pore-Engineered Luminescent MOF Sensors for PFAS Recognition in Water.

Zongsu Han, Kun-Yu Wang, Jiatong Huo, Wenyue Cui, Zhaoyi Liu, Yihao Yang, Rong-Ran Liang, Wei Shi, Hong-Cai Zhou

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. A New Switchable ZrAngewandte Chemie (International ed. in English) · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

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

9 authors.

Zongsu HanDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Kun-Yu WangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0001-8982-0547
Jiatong HuoDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Wenyue CuiFrontiers Science Center for New Organic Matter, State Key Laboratory of Advanced Chemical Power Sources, and Department of Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.
Zhaoyi LiuDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Yihao YangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-6036-1401
Rong-Ran LiangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Wei ShiFrontiers Science Center for New Organic Matter, State Key Laboratory of Advanced Chemical Power Sources, and Department of Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China.ORCID 0000-0001-6130-1227
Hong-Cai ZhouDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-9029-3788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) are persistent contaminants in water that pose severe threats to environmental integrity and public health. Luminescent sensing using porous materials has emerged as a highly efficient strategy for daily recognition, owing to its high efficiency, simplicity, and sensitivity. However, systematic investigations into the pore structure-function relationship that govern PFAS detection remain largely lacking, which hindered the rational design of advanced PFAS sensors. Herein, a linker installation strategy is employed to precisely engineer the pore environments of metal-organic frameworks (MOFs) in a modular manner without compromising structural integrity for PFAS recognition in water. A library of 13 PCN-700 derivatives with systematically regulated pore volumes was constructed, revealing that enhanced pore accessibility directly boosts sensing performance. Notably, the amino groups in PCN-700 significantly improve the sensing sensitivity, achieving up to 3-fold higher quenching efficiencies through strengthened host-guest interactions. Further adjustment of functional group densities uncovers a trade-off between functional group loading and pore accessibility. By disentangling the respective contributions of pore volume modulation by various functional groups, the design principles are provided for the development of robust and high-performance MOF-based luminescent sensors to address PFAS monitoring challenges in water.

Identifiers

PMID41531190
PMCPMC12856896

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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.