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Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples
The novel coronavirus SARS-CoV-2, since its initial outbreak in Wuhan, China has led to a worldwide pandemic and has shut down nations. As with any outbreak, there is a general strategy of detection, containment, treatment and/or cure. The authors would argue that rapid and efficient detection is cr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188775/ https://www.ncbi.nlm.nih.gov/pubmed/34127961 http://dx.doi.org/10.1016/j.fsisyn.2021.100155 |
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author | Mendel, Julian Frank, Kelvin Edlin, Lourdes Hall, Kelley Webb, Denise Mills, John Holness, Howard K. Furton, Kenneth G. Mills, DeEtta |
author_facet | Mendel, Julian Frank, Kelvin Edlin, Lourdes Hall, Kelley Webb, Denise Mills, John Holness, Howard K. Furton, Kenneth G. Mills, DeEtta |
author_sort | Mendel, Julian |
collection | PubMed |
description | The novel coronavirus SARS-CoV-2, since its initial outbreak in Wuhan, China has led to a worldwide pandemic and has shut down nations. As with any outbreak, there is a general strategy of detection, containment, treatment and/or cure. The authors would argue that rapid and efficient detection is critical and required to successful management of a disease. The current study explores and successfully demonstrates the use of canines to detect COVID-19 disease in exhaled breath. The intended use was to detect the odor of COVID-19 on contaminated surfaces inferring recent deposition of infectious material from a COVID-19 positive individual. Using masks obtained from hospitalized patients that tested positive for COVID-19 disease, four canines were trained and evaluated for their ability to detect the disease. All four canines obtained an accuracy >90% and positive predictive values ranging from ~73 to 93% after just one month of training. |
format | Online Article Text |
id | pubmed-8188775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81887752021-06-10 Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples Mendel, Julian Frank, Kelvin Edlin, Lourdes Hall, Kelley Webb, Denise Mills, John Holness, Howard K. Furton, Kenneth G. Mills, DeEtta Forensic Sci Int Synerg Interdisciplinary Forensics The novel coronavirus SARS-CoV-2, since its initial outbreak in Wuhan, China has led to a worldwide pandemic and has shut down nations. As with any outbreak, there is a general strategy of detection, containment, treatment and/or cure. The authors would argue that rapid and efficient detection is critical and required to successful management of a disease. The current study explores and successfully demonstrates the use of canines to detect COVID-19 disease in exhaled breath. The intended use was to detect the odor of COVID-19 on contaminated surfaces inferring recent deposition of infectious material from a COVID-19 positive individual. Using masks obtained from hospitalized patients that tested positive for COVID-19 disease, four canines were trained and evaluated for their ability to detect the disease. All four canines obtained an accuracy >90% and positive predictive values ranging from ~73 to 93% after just one month of training. Elsevier 2021-06-09 /pmc/articles/PMC8188775/ /pubmed/34127961 http://dx.doi.org/10.1016/j.fsisyn.2021.100155 Text en © 2021 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Interdisciplinary Forensics Mendel, Julian Frank, Kelvin Edlin, Lourdes Hall, Kelley Webb, Denise Mills, John Holness, Howard K. Furton, Kenneth G. Mills, DeEtta Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title | Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title_full | Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title_fullStr | Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title_full_unstemmed | Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title_short | Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples |
title_sort | preliminary accuracy of covid-19 odor detection by canines and hs-spme-gc-ms using exhaled breath samples |
topic | Interdisciplinary Forensics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188775/ https://www.ncbi.nlm.nih.gov/pubmed/34127961 http://dx.doi.org/10.1016/j.fsisyn.2021.100155 |
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