尿挥发物识别在COVID-19诊断中的应用

Yolande C. Mougang Ketchanji, Lorena Di Zazzo, Rosamaria Canuano, Marinela Minieri, C. Natale
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引用次数: 0

摘要

采用气相色谱-质谱联用仪(GC-MS)和Tor Vergata电子鼻(E-Nose)对新冠肺炎患者和健康对照者的尿液样本进行挥发性有机化合物(VOCs)采集和分析。这种非针对性的代谢调查产生了一组5种选择性VOCs,其准确性、敏感性和特异性分别为84.38%、94.44%和71.43%。E- Nose对Covid-19受试者的检测准确率、灵敏度和特异性分别为92.1%、100%、85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urinary volatile recognition for COVID-19 diagnosis
Volatile organic compounds (VOCs) of urine samples of Covid-19 patients and healthy controls have been collected and analyzed with a gas chromatograph-mass spectrometer (GC-MS) and the actual version of the Tor Vergata electronic nose (E-Nose). This untargeted metabolic investigation leads to a set of 5 discriminative VOCs with 84.38%, 94.44%, 71.43% for accuracy, sensitivity, and specificity. The E- Nose has sniffed Covid-19 subjects at 92.1 %, 100%, 85%, as the accuracy, sensitivity, and specificity respectively.
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