Yolande C. Mougang Ketchanji, Lorena Di Zazzo, Rosamaria Canuano, Marinela Minieri, C. Natale
{"title":"Urinary volatile recognition for COVID-19 diagnosis","authors":"Yolande C. Mougang Ketchanji, Lorena Di Zazzo, Rosamaria Canuano, Marinela Minieri, C. Natale","doi":"10.1109/ISOEN54820.2022.9789613","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOEN54820.2022.9789613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.