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Related Experiment Video

Updated: May 13, 2026

Breath Collection from Children for Disease Biomarker Discovery

Breath Collection from Children for Disease Biomarker Discovery

Published on: February 14, 2019

Pathologies currently identified by exhaled biomarkers.

Andrea Mazzatenta¹, Camillo Di Giulio, Mieczyslaw Pokorski

¹Unit of Sensory Physiology, Department of Neuroscience and Imaging, University of Chieti-Pescara G. d'Annunzio, Italy.

Respiratory Physiology & Neurobiology

|March 15, 2013

Summary

Analyzing volatile breath biomarkers using metal oxide semiconductor (MOS) sensors offers a promising, non-invasive method for disease diagnosis. This technology aids in identifying conditions like diabetes and neurological fatigue.

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Clinical Diagnostics

Background:

Ancient physicians recognized breath's diagnostic potential.
Volatile breath biomarkers indicate various diseases.
Challenges exist in identifying and quantifying these biomarkers.

Purpose of the Study:

Review clinical applications of metal oxide semiconductor (MOS) sensors for breath analysis.
Evaluate MOS sensors' ability to distinguish health from disease states.
Explore potential applications in diagnosing and managing specific conditions.

Main Methods:

Literature review of MOS sensor applications in breath analysis.
Discussion of challenges in analyzing low-concentration, small-volume breath samples.
Case examples including diabetes, multiple chemical sensitivity (MCS) syndrome, and central neural fatigue.

Main Results:

MOS sensors show potential for continuous breath analysis.
Successful differentiation between health and disease in specific conditions.
Demonstrated utility in detecting central neural fatigue from cognitive tasks.

Conclusions:

Exhaled breath analysis using MOS sensors is a promising diagnostic tool.
Potential applications in diagnosing and treating cognitive disorders associated with genetic or neurodegenerative diseases.
Further development needed for continuous, low-concentration sample analysis.