Respirator-integrated continuous gas sampling for broadband optical spectroscopy

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-04
DOI
https://doi.org/10.1038/s41598-026-69327-3
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Respirator-integrated continuous gas sampling for broadband optical spectroscopy

Aleksandra Borek-Dorosz, Ignacio Rubio, Felix Paries, Margit Leitner et al.
Scientific Reports
Spectroscopy and Laser Applications
article

Respirator-integrated continuous gas sampling for broadband optical spectroscopy

Aleksandra Borek-Dorosz, Ignacio Rubio, Felix Paries, Margit Leitner, Maximilian Högner, Michael Bauer, Jan Ornik, Ioachim Pupeza, Stefan Haering, Marco Personeni, Jens-Uwe Weiß
article en

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.

Scientific ReportsVol. 16(1)
University of Kaiserslautern (DE), Leibniz Institute of Photonic Technology (DE), Fraunhofer Institute for Industrial Mathematics (DE), Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft, Fundacja na rzecz Nauki Polskiej
Openalex Percentile: Top 21%
Spectroscopy and Laser Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.