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Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System
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 usin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467588/ https://www.ncbi.nlm.nih.gov/pubmed/34562928 http://dx.doi.org/10.3390/bios11090337 |
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author | Kim, Chuntae Raja, Iruthayapandi Selestin Lee, Jong-Min Lee, Jong Ho Kang, Moon Sung Lee, Seok Hyun Oh, Jin-Woo Han, Dong-Wook |
author_facet | Kim, Chuntae Raja, Iruthayapandi Selestin Lee, Jong-Min Lee, Jong Ho Kang, Moon Sung Lee, Seok Hyun Oh, Jin-Woo Han, Dong-Wook |
author_sort | Kim, Chuntae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8467588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84675882021-09-27 Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System Kim, Chuntae Raja, Iruthayapandi Selestin Lee, Jong-Min Lee, Jong Ho Kang, Moon Sung Lee, Seok Hyun Oh, Jin-Woo Han, Dong-Wook Biosensors (Basel) Review 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. MDPI 2021-09-14 /pmc/articles/PMC8467588/ /pubmed/34562928 http://dx.doi.org/10.3390/bios11090337 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kim, Chuntae Raja, Iruthayapandi Selestin Lee, Jong-Min Lee, Jong Ho Kang, Moon Sung Lee, Seok Hyun Oh, Jin-Woo Han, Dong-Wook Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title | Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title_full | Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title_fullStr | Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title_full_unstemmed | Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title_short | Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System |
title_sort | recent trends in exhaled breath diagnosis using an artificial olfactory system |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467588/ https://www.ncbi.nlm.nih.gov/pubmed/34562928 http://dx.doi.org/10.3390/bios11090337 |
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