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Published on: March 9, 2018
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Electronic Nose Technology in Respiratory Diseases.
Silvano Dragonieri1, Giorgio Pennazza2, Pierluigi Carratu3
1Department of Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy. silvano.dragonieri@uniba.it.
Lung
|February 27, 2017
Summary
Electronic noses (e-noses) offer a novel method for detecting respiratory diseases by analyzing volatile organic compounds (VOCs) in breath. This review explores the potential of e-nose technology in diagnosing and screening various respiratory conditions.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Respiratory Medicine
Background:
- Electronic noses (e-noses) utilize sensor arrays to detect volatile organic compounds (VOCs), distinguishing them via pattern recognition.
- E-nose technology has established commercial applications in military, environmental, and food industries.
- Human breath contains over 3000 VOCs, suggesting potential for medical diagnostics.
Purpose of the Study:
- To review the existing literature on the application of electronic nose technology in the field of respiratory diseases.
- To explore the diagnostic and screening capabilities of breath profiling using e-noses for respiratory conditions.
Main Methods:
- Literature search and review of studies employing e-nose technology for respiratory disease analysis.
- Analysis of VOC profiles in exhaled breath using pattern recognition techniques.
Main Results:
- Growing body of evidence indicates that e-nose breath profiling shows promise for diagnosing and screening respiratory and systemic diseases.
- E-nose technology offers a non-invasive alternative to traditional diagnostic methods for certain respiratory conditions.
Conclusions:
- Electronic nose technology holds significant potential for medical applications, particularly in the diagnosis and screening of respiratory diseases.
- Further research is warranted to fully establish the clinical utility and standardization of e-nose devices for breath analysis in medicine.

