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  • 标题:Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples
  • 本地全文:下载
  • 作者:Julian Mendel ; Kelvin Frank ; Lourdes Edlin
  • 期刊名称:Forensic Science International: Synergy
  • 印刷版ISSN:2589-871X
  • 出版年度:2021
  • 卷号:3
  • 页码:100155
  • DOI:10.1016/j.fsisyn.2021.100155
  • 出版社:Elsevier BV
  • 摘要: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.
  • 关键词:Scent discriminating canines ; COVID-19 ; Coronavirus ; Volatile organic compounds
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