Evidence map›Paper›PMID 40442212›Full record

ArticleScientific reports2025

Mid-infrared acetone gas sensors using substrate-integrated hollow waveguides augmented by advanced preconcentrators.

Diandra Nunes Barreto, Carmen Schreiber, João Flávio da Silveira Petruci, Boris Mizaikoff, Vjekoslav Kokoric

Abstract read
In one paragraph

Article in Scientific reports, 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trends in vibrational spectroscopy on optical waveguides.Analytical and bioanalytical chemistry · 2026
    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

5 authors.

Diandra Nunes BarretoInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany.
Carmen SchreiberInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany.
João Flávio da Silveira PetruciInstitute of Chemistry, Federal University of Uberlândia (UFU), Uberlândia, MG, Brazil.
Boris MizaikoffInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081, Ulm, Germany.
Vjekoslav KokoricHahn-Schickard, 89077, Ulm, Germany. vjekoslav.kokoric@hahn-schickard.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of volatile organic compounds (VOC) such as acetone, a relevant biomarker for diabetes mellitus in exhaled human breath has become essential for early disease diagnostics, prognosis, and monitoring of metabolic responses to pharmacological interventions. Gas chromatography coupled with mass spectrometry (GC-MS) is considered as the gold standard for breath analysis. However, its inability to offer point-of-care monitoring limits its applicability in clinical environments. Optical techniques based on absorption in the mid-infrared range (2.5 to 25 μm) appear as promising alternatives due to their inherent selectivity, potential for miniaturization, portability, and direct analysis with rapid response. Relevant biomarkers present in exhaled breath, are usually observed in the ppb to ppm (v/v) concentration regime. For sensitivity enhancement of optical sensing techniques, appropriate preconcentration schemes are required prior to the optical detection. The present study describes a method combining a multi-channel substrate-integrated preconcentration module (a.k.a., muciPRECON) for enhancing and optimizing the detection of acetone via a mid-infrared photonic sensing system. The sensor system comprises a compact Fourier Transform Infrared (FTIR) spectrometer, a technique that enables detailed infrared spectral analysis, coupled to a substrate-integrated hollow waveguide (iHWG) simultaneously acting as a gas cell and as a photon conduit. Preconcentation experiments were from acetone/nitrogen gas mixtures in the concentration range of 5-100 ppm at - 10 °C followed by desorption at a temperature of 100 °C and direct injection into the IR sensing system Thus obtained acetone spectra were quantified evaluating a molecule-specific vibrational absorption peak area in the spectral window 1260-1170 cm

Indexed as

AcetoneBreath TestsGas Chromatography-Mass SpectrometryHumansSpectroscopy, Fourier Transform InfraredVolatile Organic CompoundsAcetoneVolatile Organic CompoundsBreath analysisDirect analysisMIRPreconcentrationVOCs

Identifiers

PMID40442212
PMCPMC12122893

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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.