Evidence map›Paper›PMID 40993106›Full record

ArticleNature communications2025

Kinetic selectivity in metal-organic framework chemical sensors.

Aleksander Matavž, Margot F K Verstreken, Leen Boullart, Max L Tietze, Masaya Sugihara, Lars Heinke, Rob Ameloot

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Van der Waals Gap-Confined Molecular Engineering of MoSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
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

7 authors.

Aleksander MatavžCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium. aleksander.matavz@ijs.si.ORCID http://orcid.org/0000-0002-3385-3566
Margot F K VerstrekenCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium.
Leen BoullartCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium.
Max L TietzeCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-9018-3829
Masaya SugiharaCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium.
Lars HeinkeInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-1439-9695
Rob AmelootCenter for Membrane Separations, Adsorption, Catalysis, and Spectroscopy, KU Leuven, Leuven, Belgium. rob.ameloot@kuleuven.be.ORCID http://orcid.org/0000-0003-3178-5480

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1S48221NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G0A1B24NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G85720NOnderzoeksraad, KU Leuven (Research Council, KU Leuven) C14/20/085
6 · The paper itself

Abstract

Selective detection of specific volatile organic compounds (VOCs) is crucial for health, safety, and environmental applications, but current sensors suffer from poor selectivity and struggle to measure specific VOCs in the presence of interfering compounds and water vapor. To address this issue, we introduce the kinetic selectivity achievable in nanoporous crystals, specifically metal-organic frameworks (MOFs), into the domain of chemical sensors. In well-selected MOFs, similar molecules can have diffusivities that differ by orders of magnitude. Measuring these diffusivity values is challenging since conventional methods based on rapid changes in atmosphere composition cannot be used in a sensing context. A temperature-perturbation method is developed for thin-film capacitive sensors with a MOF dielectric layer to enable diffusivity measurements in a fixed atmosphere. Our approach enables a single sensor to differentiate and quantify VOCs at ppm concentrations, even in mixtures containing high water vapor concentrations, outperforming a state-of-the-art ten-element sensor array.

Identifiers

PMID40993106
PMCPMC12460608

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.