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Updated: Sep 17, 2025

Breath Collection from Children for Disease Biomarker Discovery
Published on: February 14, 2019
Breath profiles in paediatric allergic asthma by proton transfer reaction mass spectrometry
Lamkaddam Houssni1, Micic Srdjan2, Bruderer Tobias3
1Laboratory of Atmospheric Chemistry, Paul Scherrer Institut PSI, Villigen, Aargau, Switzerland.
Introduction:
Enhancing paediatric asthma diagnosis is crucial. Molecular analysis of exhaled breath is a rapidly evolving field aimed at harnessing established and innovative technologies for clinical applications. This study evaluates the feasibility of using online proton-transfer-reaction mass spectrometry (PTR-MS) to identify distinctive breath signatures in children with allergic asthma.
Methods:
Exhaled breath samples of 81 children (41 with allergic asthma and 40 healthy controls) were analysed using the Vocus CI-TOF mass spectrometer (Tofwerk AG, Switzerland), with mass spectra acquired in H3O+ and NH4 + ionisation modes. Significant mass-to-charge (m/z) features were extracted using the Wilcoxon rank-sum test. Molecular identification was conducted using two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-Q-TOF).
Results:
Statistical analysis revealed 89 significant m/z features associated with paediatric allergic asthma, 66 in H3O+ mode and 23 in NH4 + mode. Supervised machine learning achieved an average accuracy of 74.7% in distinguishing between the groups. GCxGC-QTOF analysis identified a subset of significant features, including four previously reported asthma predictors in breath analysis studies. 16 novel asthma predictor candidates were additionally detected, including 7 likely endogenous, 4 unknowns and 3 exogenous. The main group of breath metabolites was structurally related fatty acids, methyl esters and aldehydes, including four known biomarkers of lipid peroxidation.
Conclusion:
Our findings demonstrate the suitability of PTR-MS for real-time breath analysis in paediatric populations. Moreover, the identification of distinct breath signatures exclusive to allergic asthma in children suggests the potential of leveraging such technology for non-invasive diagnostic applications.
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