Evidence map›Paper›PMID 39048618›Full record

ArticleScientific reports2024

Rapid differentiation of cystic fibrosis-related bacteria via reagentless atmospheric pressure photoionisation mass spectrometry.

Adam Haworth-Duff, Barry L Smith, Tung-Ting Sham, Cedric Boisdon, Paul Loughnane, Mark Burnley, Daniel B Hawcutt, Rasmita Raval, Simon Maher

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

9 authors.

Adam Haworth-DuffDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Barry L SmithDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Tung-Ting ShamDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Cedric BoisdonDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Paul LoughnaneDepartment of Biochemistry and Systems Biology, University of Liverpool, Liverpool, UK.
Mark BurnleyDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Daniel B HawcuttDepartment of Women's and Children's Health, University of Liverpool, Liverpool, UK.
Rasmita RavalOpen Innovation Hub for Antimicrobial Surfaces, Department of Chemistry, University of Liverpool, Liverpool, UK.
Simon MaherDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK. s.maher@liverpool.ac.uk.

Funding

EPSRC EP/Y003519/1National Biofilms Innovation Centre BB/R012415/1
6 · The paper itself

Abstract

Breath analysis is an area of significant interest in medical research as it allows for non-invasive sampling with exceptional potential for disease monitoring and diagnosis. Volatile organic compounds (VOCs) found in breath can offer critical insight into a person's lifestyle and/or disease/health state. To this end, the development of a rapid, sensitive, cost-effective and potentially portable method for the detection of key compounds in breath would mark a significant advancement. Herein, we have designed, built and tested a novel reagent-less atmospheric pressure photoionisation (APPI) source, coupled with mass spectrometry (MS), utilising a bespoke bias electrode within a custom 3D printed sampling chamber for direct analysis of VOCs. Optimal APPI-MS conditions were identified, including bias voltage, cone voltage and vaporisation temperature. Calibration curves were produced for ethanol, acetone, 2-butanone, ethyl acetate and eucalyptol, yielding R

Indexed as

Atmospheric PressureCystic FibrosisMass SpectrometryPseudomonas aeruginosaVolatile Organic CompoundsBreath TestsEscherichia coliHumansStaphylococcus aureusVolatile Organic Compounds

Identifiers

PMID39048618
PMCPMC11269582

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.