Evidence map›Paper›PMID 41136404›Full record

ArticleNature communications2025

Targeted high-resolution sensing of volatile organic compounds by covalent nanopore detection.

Lauren E McGivern, Zhong Hui Lim, Yizhi Yuan, Zonghua Bo, Guangqi Wu, Hagan Bayley, Yujia Qing

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lauren E McGivern *Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK.
Zhong Hui Lim *Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK.
Yizhi YuanDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6508-9216
Zonghua BoDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK.
Guangqi WuDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK.
Hagan BayleyDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK. hagan.bayley@chem.ox.ac.uk.ORCID http://orcid.org/0000-0003-2499-6116
Yujia QingDepartment of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK. yujia.qing@chem.ox.ac.uk.ORCID http://orcid.org/0000-0002-2110-4269

Funding

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV-049685
6 · The paper itself

Abstract

Volatile organic compounds are choice analytes in a variety of contexts. For example, humans release over 4000 volatile organic compounds, many of which are diagnostic of life-threatening medical conditions. The analysis of combinations of a large number of potential analytes requires the application of costly, cumbersome technology. In this work, we show that covalent nanopore sensing can be used for the targeted detection of a reduced set of analytes in a mixture. In this case aldehydes, which constitute ~5% of human volatiles, can be selectively detected by using reversible thiol-aldehyde chemistry. Further, nanopore engineering permits high-resolution detection, which allows closely related aldehydes, including isomers, to be distinguished. Differential sensing of members of other chemical classes, such as mono alcohols, is also demonstrated by leveraging their enzymatic conversion into aldehydes. Our approach is compatible with the use of low-cost, portable, user-friendly diagnostic devices applicable to a wide variety of objectives, including pollutant monitoring, food and beverage testing and the quality control of pharmaceuticals, as well as disease diagnostics.

Indexed as

Biosensing TechniquesNanoporesVolatile Organic CompoundsAldehydesHumansSulfhydryl CompoundsAldehydesSulfhydryl CompoundsVolatile Organic Compounds

Identifiers

PMID41136404
PMCPMC12552616

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Registered trials

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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.