Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19

Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood sa...

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Published iniScience Vol. 24; no. 8; p. 102851
Main Authors Mougang, Yolande Ketchanji, Di Zazzo, Lorena, Minieri, Marilena, Capuano, Rosamaria, Catini, Alexandro, Legramante, Jacopo Maria, Paolesse, Roberto, Bernardini, Sergio, Di Natale, Corrado
Format Journal Article
LanguageEnglish
Published Elsevier Inc 20.08.2021
Elsevier
Subjects
Biotechnology
Diagnostics
Health sciences
Medical biotechnology
Medical biotechnology
Health sciences
Biotechnology
Diagnostics
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Abstract Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%). [Display omitted] •Volatile compounds released from human blood serum were analyzed•Blood serum of COVID-19 patients is identified by a pool of 17 volatile compounds•An array of gas sensors detects COVID-19 from serum volatile compounds analysis Health sciences; Diagnostics; Biotechnology; Medical biotechnology
AbstractList Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%).
Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%). [Display omitted] •Volatile compounds released from human blood serum were analyzed•Blood serum of COVID-19 patients is identified by a pool of 17 volatile compounds•An array of gas sensors detects COVID-19 from serum volatile compounds analysis Health sciences; Diagnostics; Biotechnology; Medical biotechnology
Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%). • Volatile compounds released from human blood serum were analyzed • Blood serum of COVID-19 patients is identified by a pool of 17 volatile compounds • An array of gas sensors detects COVID-19 from serum volatile compounds analysis Health sciences; Diagnostics; Biotechnology; Medical biotechnology
ArticleNumber 102851
Author Paolesse, Roberto
Bernardini, Sergio
Capuano, Rosamaria
Mougang, Yolande Ketchanji
Legramante, Jacopo Maria
Di Zazzo, Lorena
Di Natale, Corrado
Minieri, Marilena
Catini, Alexandro
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Snippet Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients...
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Title Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19
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