Evidence map›Paper›PMID 42697925›Full record

ArticleScientific reports2026

Respirator-integrated continuous gas sampling for broadband optical spectroscopy.

Aleksandra Borek-Dorosz, Jan Ornik, Marco Personeni, Stefan Haering, Maximilian Högner, Felix Paries, Margit Leitner, Jens-Uwe Weiß, Ignacio Rubio, Michael Bauer and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Aleksandra Borek-Dorosz *Leibniz Institute of Photonic Technology ─ Member of the Research Alliance, Leibniz Health Technologies, 07745, Jena, Germany.ORCID 0000-0003-3699-9453
Jan Ornik *Leibniz Institute of Photonic Technology ─ Member of the Research Alliance, Leibniz Health Technologies, 07745, Jena, Germany.ORCID 0000-0001-8877-151X
Marco PersoneniPhysics Department and State Research Center OPTIMAS, University of Kaiserslautern-Landau, 67663, Kaiserslautern, Germany.ORCID 0009-0006-1302-4935
Stefan HaeringPhysics Department and State Research Center OPTIMAS, University of Kaiserslautern-Landau, 67663, Kaiserslautern, Germany.
Maximilian HögnerPhysics Department and State Research Center OPTIMAS, University of Kaiserslautern-Landau, 67663, Kaiserslautern, Germany.ORCID 0000-0002-6243-802X
Felix PariesPhysics Department and State Research Center OPTIMAS, University of Kaiserslautern-Landau, 67663, Kaiserslautern, Germany.ORCID 0009-0003-3989-0215
Margit LeitnerDepartment of Anesthesiology and Intensive Care, Leibniz Center for Photonics in Infection Research (LPI), Jena University Hospital, Friedrich Schiller University, Am Klinikum 1, 07749, Jena, Germany.ORCID 0009-0001-7445-5556
Jens-Uwe WeißCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Am Klinikum 1, 07749, Jena, Germany.
Ignacio RubioDepartment of Anesthesiology and Intensive Care, Leibniz Center for Photonics in Infection Research (LPI), Jena University Hospital, Friedrich Schiller University, Am Klinikum 1, 07749, Jena, Germany.ORCID 0000-0002-0251-7711
Michael BauerCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743, Jena, Germany.ORCID 0000-0002-1521-3514
Ioachim PupezaLeibniz Institute of Photonic Technology ─ Member of the Research Alliance, Leibniz Health Technologies, 07745, Jena, Germany. ioachim.pupeza@rptu.de.ORCID 0000-0001-8422-667X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With its high molecular complexity, human breath lends itself as an information-rich sample for non-invasive biomedical diagnostics. Among emerging multi-variate analytical techniques for human breath, laser-based optical spectroscopy constitutes a particularly promising novel combination of short measurement times and high concentration dynamic range for molecular detection. Here, we present an automated system designed for continuous collection of exhaled breath directly from a respirator, and subsequent spectroscopic analysis. By obviating any additional intermediate sample storage or transport, our method minimizes setup complexity and sample contamination, while avoiding interference with the operation of the respirator. In this proof-of-principle study, we present automated and quantitative monitoring of three substances introduced in an artificial test lung ventilated by the respirator. Employing a standard Fourier-transform infrared spectrometer for molecular quantification, individual measurements were performed every 7 min over 24 h. The stability and analytical capability of the breath sampling system presented here, along with improvements in terms of spectral resolution and detection dynamic range obtainable through state-of-the-art laser-based spectroscopy promise fast and quantitative monitoring of the human breath volatilome. Coupled to state-of-the-art spectroscopy this may pave the way to monitor metabolites in real time in critically ill patients over the entire physiologically relevant molecular concentration range.

Indexed as

GasesSpectrum AnalysisBreath TestsHumansSpectroscopy, Fourier Transform InfraredGasesAutomated breath collectionBreathomicsFTIR spectroscopyRespiratory gas monitoring

Identifiers

PMID42697925
PMCPMC13545246

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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.