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Breath analysis for respiratory infections

One of the most logical applications of modern breath analysis techniques is to provide information on respiratory infections. Ongoing work in various types of pulmonary infections has begun to denote candidate breath biomarkers of bacterial, viral, and fungal lung infections. Groundbreaking studies...

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Detalles Bibliográficos
Autores principales: Davis, Cristina E., Hill, Jane E., Frank, Matthias, McCartney, Mitchell M., Schivo, Michael, Bean, Heather D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499076/
http://dx.doi.org/10.1016/B978-0-12-819967-1.00021-9
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author Davis, Cristina E.
Hill, Jane E.
Frank, Matthias
McCartney, Mitchell M.
Schivo, Michael
Bean, Heather D.
author_facet Davis, Cristina E.
Hill, Jane E.
Frank, Matthias
McCartney, Mitchell M.
Schivo, Michael
Bean, Heather D.
author_sort Davis, Cristina E.
collection PubMed
description One of the most logical applications of modern breath analysis techniques is to provide information on respiratory infections. Ongoing work in various types of pulmonary infections has begun to denote candidate breath biomarkers of bacterial, viral, and fungal lung infections. Groundbreaking studies have been performed in naturally occurring cases with humans and with animal models of the disease. This has been coupled with cell culture work to understand the nature of the origins of breath biomarkers generated from the pathogen itself as it proliferates. Much work remains to be done, and the published studies described in this chapter are helping to set a foundation for this research area.
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spelling pubmed-74990762020-09-18 Breath analysis for respiratory infections Davis, Cristina E. Hill, Jane E. Frank, Matthias McCartney, Mitchell M. Schivo, Michael Bean, Heather D. Breathborne Biomarkers and the Human Volatilome Article One of the most logical applications of modern breath analysis techniques is to provide information on respiratory infections. Ongoing work in various types of pulmonary infections has begun to denote candidate breath biomarkers of bacterial, viral, and fungal lung infections. Groundbreaking studies have been performed in naturally occurring cases with humans and with animal models of the disease. This has been coupled with cell culture work to understand the nature of the origins of breath biomarkers generated from the pathogen itself as it proliferates. Much work remains to be done, and the published studies described in this chapter are helping to set a foundation for this research area. 2020 2020-09-18 /pmc/articles/PMC7499076/ http://dx.doi.org/10.1016/B978-0-12-819967-1.00021-9 Text en Copyright © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Davis, Cristina E.
Hill, Jane E.
Frank, Matthias
McCartney, Mitchell M.
Schivo, Michael
Bean, Heather D.
Breath analysis for respiratory infections
title Breath analysis for respiratory infections
title_full Breath analysis for respiratory infections
title_fullStr Breath analysis for respiratory infections
title_full_unstemmed Breath analysis for respiratory infections
title_short Breath analysis for respiratory infections
title_sort breath analysis for respiratory infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499076/
http://dx.doi.org/10.1016/B978-0-12-819967-1.00021-9
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