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

Yolande Ketchanji Mougang; Lorena Di Zazzo; Marilena Minieri; Rosamaria Capuano; Alexandro Catini; Jacopo Maria Legramante; Roberto Paolesse; Sergio Bernardini; Corrado Di Natale

iScience (Aug 2021)

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

Yolande Ketchanji Mougang,
Lorena Di Zazzo,
Marilena Minieri,
Rosamaria Capuano,
Alexandro Catini,
Jacopo Maria Legramante,
Roberto Paolesse,
Sergio Bernardini,
Corrado Di Natale

Affiliations

Yolande Ketchanji Mougang: Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
Lorena Di Zazzo: Department of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
Marilena Minieri: Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
Rosamaria Capuano: Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
Alexandro Catini: Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
Jacopo Maria Legramante: Department of Medicine's Systems, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
Roberto Paolesse: Department of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
Sergio Bernardini: Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy; Emerging Technologies Division of International Federation Clinical Chemistry and Laboratory Medicine (IFCC), Milano, Italy
Corrado Di Natale: Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy; Corresponding author

Journal volume & issue: Vol. 24, no. 8
p. 102851

Abstract

Read online

Summary: 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%).

Published in iScience

ISSN: 2589-0042 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science
Website: http://www.cell.com/iscience/home

About the journal

Abstract

Keywords