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Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System

Authors :
Chuntae Kim
Iruthayapandi Selestin Raja
Jong-Min Lee
Jong Ho Lee
Moon Sung Kang
Seok Hyun Lee
Jin-Woo Oh
Dong-Wook Han
Source :
Biosensors, Vol 11, Iss 9, p 337 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Artificial olfactory systems are needed in various fields that require real-time monitoring, such as healthcare. This review introduces cases of detection of specific volatile organic compounds (VOCs) in a patient’s exhaled breath and discusses trends in disease diagnosis technology development using artificial olfactory technology that analyzes exhaled human breath. We briefly introduce algorithms that classify patterns of odors (VOC profiles) and describe artificial olfactory systems based on nanosensors. On the basis of recently published research results, we describe the development trend of artificial olfactory systems based on the pattern-recognition gas sensor array technology and the prospects of application of this technology to disease diagnostic devices. Medical technologies that enable early monitoring of health conditions and early diagnosis of diseases are crucial in modern healthcare. By regularly monitoring health status, diseases can be prevented or treated at an early stage, thus increasing the human survival rate and reducing the overall treatment costs. This review introduces several promising technical fields with the aim of developing technologies that can monitor health conditions and diagnose diseases early by analyzing exhaled human breath in real time.

Details

Language :
English
ISSN :
20796374
Volume :
11
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Biosensors
Publication Type :
Academic Journal
Accession number :
edsdoj.37e8ff9e1e4b4d1387c0a6fba0980c26
Document Type :
article
Full Text :
https://doi.org/10.3390/bios11090337