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Sensors for detecting pulmonary diseases from exhaled breath
This review presents and discusses a new frontier for fast, risk-free and potentially inexpensive diagnostics of respiratory diseases by detecting volatile organic compounds (VOCs) present in exhaled breath. One part of the review is a didactic presentation of the overlaying concept and the chemistr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489036/ https://www.ncbi.nlm.nih.gov/pubmed/31243097 http://dx.doi.org/10.1183/16000617.0011-2019 |
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author | Hashoul, Dina Haick, Hossam |
author_facet | Hashoul, Dina Haick, Hossam |
author_sort | Hashoul, Dina |
collection | PubMed |
description | This review presents and discusses a new frontier for fast, risk-free and potentially inexpensive diagnostics of respiratory diseases by detecting volatile organic compounds (VOCs) present in exhaled breath. One part of the review is a didactic presentation of the overlaying concept and the chemistry of exhaled breath. The other part discusses diverse sensors that have been developed and used for the detection of respiratory diseases (e.g. chronic obstructive pulmonary disease, asthma, lung cancer, pulmonary arterial hypertension, tuberculosis, cystic fibrosis, obstructive sleep apnoea syndrome and pneumoconiosis) by analysis of VOCs in exhaled breath. The strengths and pitfalls are discussed and criticised, particularly in the perspective in disseminating information regarding these advances. Ideas regarding the improvement of sensors, sensor arrays, sensing devices and the further planning of workflow are also discussed. |
format | Online Article Text |
id | pubmed-9489036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94890362022-11-14 Sensors for detecting pulmonary diseases from exhaled breath Hashoul, Dina Haick, Hossam Eur Respir Rev Review This review presents and discusses a new frontier for fast, risk-free and potentially inexpensive diagnostics of respiratory diseases by detecting volatile organic compounds (VOCs) present in exhaled breath. One part of the review is a didactic presentation of the overlaying concept and the chemistry of exhaled breath. The other part discusses diverse sensors that have been developed and used for the detection of respiratory diseases (e.g. chronic obstructive pulmonary disease, asthma, lung cancer, pulmonary arterial hypertension, tuberculosis, cystic fibrosis, obstructive sleep apnoea syndrome and pneumoconiosis) by analysis of VOCs in exhaled breath. The strengths and pitfalls are discussed and criticised, particularly in the perspective in disseminating information regarding these advances. Ideas regarding the improvement of sensors, sensor arrays, sensing devices and the further planning of workflow are also discussed. European Respiratory Society 2019-06-26 /pmc/articles/PMC9489036/ /pubmed/31243097 http://dx.doi.org/10.1183/16000617.0011-2019 Text en Copyright ©ERS 2019. https://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Review Hashoul, Dina Haick, Hossam Sensors for detecting pulmonary diseases from exhaled breath |
title | Sensors for detecting pulmonary diseases from exhaled breath |
title_full | Sensors for detecting pulmonary diseases from exhaled breath |
title_fullStr | Sensors for detecting pulmonary diseases from exhaled breath |
title_full_unstemmed | Sensors for detecting pulmonary diseases from exhaled breath |
title_short | Sensors for detecting pulmonary diseases from exhaled breath |
title_sort | sensors for detecting pulmonary diseases from exhaled breath |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489036/ https://www.ncbi.nlm.nih.gov/pubmed/31243097 http://dx.doi.org/10.1183/16000617.0011-2019 |
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