Field Evaluation of a Portable Multi-Sensor Platform for Characterizing Inter-Individual Variability in Exhaled Breath Responses
Open Access
Abstract
Portable breath-sensing platforms offer a practical approach for collecting physiological and environmental information outside controlled laboratory settings, but their interpretation is complicated by inter-individual variability and sensor-related effects. This pilot study evaluated the BreathLogix VOC Series prototype, a portable multi-sensor platform incorporating gas-sensitive, carbon-dioxide, temperature, and environmental channels, during routine collegiate athletic activities. A total of 421 breath recordings were obtained from 209 participant ID codes, including 175 pre-exercise and 246 post-exercise recordings. Continuous sensor signals were converted into aggregated sample-level features and analyzed using descriptive statistics, interquartile-range comparisons, Pearson correlation analysis, and K-means clustering. Group-level median responses remained relatively stable across exercise conditions, whereas response variability changed more noticeably. Humidity showed the largest post-exercise increase in dispersion, followed by the hydrogen- and methane-sensitive channels, while the acetone-sensitive response showed reduced variability. Correlation analysis identified strong relationships among selected channels, consistent with possible cross-sensitivity and environmental influence. Clustering revealed two overlapping sensor-derived breath-signature groups primarily separated by acetone-sensitive response; a sex difference in cluster composition was not retained when each participant was counted once. These findings demonstrate the feasibility of field-based multi-channel breath acquisition and highlight the value of variability-centered analysis. Further analytical validation, calibration assessment, and longitudinal reproducibility testing are required.Keywords
Funding Information
- University of Detroit Mercy
This publication has 18 references indexed in Scilit:
- Applications and Material Design of Machine Learning-Enabled Metal Oxide Semiconductor Gas SensorsLangmuir, 2026
- Mass Spectrometric Analysis of Exercise-Induced Breath Metabolites, Lipids, and Proteins Using Wearable Cold-Mask SamplingAnalytical Chemistry, 2026
- Human breath analysis; Clinical application and measurement: An overviewBiosensors and Bioelectronics, 2024
- A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MSMetabolomics, 2024
- Diagnostic Performance of Electronic Noses in Cancer Diagnoses Using Exhaled BreathJAMA Network Open, 2022
- Synergistic approach to simultaneously improve response and humidity-independence of metal-oxide gas sensorsJournal of Hazardous Materials, 2022
- On-Line Analysis of Exhaled BreathChemical Reviews, 2019
- Application of Volatile Organic Compound Analysis in a Nutritional Intervention Study: Differential Responses during Five Hours Following Consumption of a High‐ and a Low‐Fat Dairy DrinkMolecular Nutrition & Food Research, 2019
- A review of breath analysis for diagnosis of human healthTrAC Trends in Analytical Chemistry, 2012
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysisJournal of Computational and Applied Mathematics, 1987