Article (Scientific journals)
Sniffing out safety: canine detection and identification of SARS-CoV-2 infection from armpit sweat
Callewaert, Chris; Pezavant, Maria; Vandaele, Rony et al.
2023In Frontiers in Medicine, 10
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Keywords :
SARS-CoV-2; Olfaction; Dogs; Diagnosis; Sweat; VOCs; Pandemic
Abstract :
[en] Detection dogs were trained to detect SARS-CoV-2 infection based on armpit sweat odor. Sweat samples were collected using cotton pads under the armpits of negative and positive human patients, confirmed by qPCR, for periods of 15–30 min. Multiple hospitals and organizations throughout Belgium participated in this study. The sweat samples were stored at −20°C prior to being used for training purposes. Six dogs were trained under controlled atmosphere conditions for 2–3 months. After training, a 7-day validation period was conducted to assess the dogs’ performances. The detection dogs exhibited an overall sensitivity of 81%, specificity of 98%, and an accuracy of 95%. After validation, training continued for 3 months, during which the dogs’ performances remained the same. Gas chromatography/mass spectrometry (GC/MS) analysis revealed a unique sweat scent associated with SARS-CoV-2 positive sweat samples. This scent consisted of a wide variety of volatiles, including breakdown compounds of antiviral fatty acids, skin proteins and neurotransmitters/hormones. An acceptability survey conducted in Belgium demonstrated an overall high acceptability and enthusiasm toward the use of detection dogs for SARS-CoV-2 detection. Compared to qPCR and previous canine studies, the detection dogs have good performances in detecting SARS-CoV-2 infection in humans, using frozen sweat samples from the armpits. As a result, they can be used as an accurate pre-screening tool in various field settings alongside the PCR test.
Research center :
FARAH - Fundamental and Applied Research for Animals and Health - ULiège [BE]
Disciplines :
Immunology & infectious disease
Author, co-author :
Callewaert, Chris
Pezavant, Maria
Vandaele, Rony
Meeus, Bart
Vankrunkelsven, Ellen
Van Goethem, Phaedra
Plumacker, Alain
Misset, Benoît ;  Centre Hospitalier Universitaire de Liège - CHU > > Service des soins intensifs
Darcis, Gilles ;  Centre Hospitalier Universitaire de Liège - CHU > > Service des maladies infectieuses - médecine interne
PIRET, Sonia ;  Centre Hospitalier Universitaire de Liège - CHU > > Service des soins intensifs
De Vleeschouwer, Lander
Staelens, Frank
Van Varenbergh, Kristel
Tombeur, Sofie
Ottevaere, Anouck
Montag, Ilke
Vandecandelaere, Patricia
Jonckheere, Stijn
Vandekerckhove, Linos
Tobback, Els
Wieers, Gregoire
Marot, Jean-Christophe
Anseeuw, Kurt
D’Hoore, Leen
Tuyls, Sebastiaan
De Tavernier, Brecht
Catteeuw, Julie
Lotfi, Ali
Melnik, Alexey
Aksenov, Alexander
Grandjean, Dominique
Stevens, Miguel
Gasthuys, Frank
Guyot, Hugues  ;  Université de Liège - ULiège > Fundamental and Applied Research for Animals and Health (FARAH) > FARAH: Productions animales durables
More authors (24 more) Less
Language :
English
Title :
Sniffing out safety: canine detection and identification of SARS-CoV-2 infection from armpit sweat
Alternative titles :
[fr] Détection et identification des infections à SARS-CoV-2 par des chiens à partir de sueur d'aisselle
Original title :
[en] Sniffing out safety: canine detection and identification of SARS-CoV-2 infection from armpit sweat
Publication date :
19 September 2023
Journal title :
Frontiers in Medicine
eISSN :
2296-858X
Publisher :
Frontiers Media, Lausanne, Switzerland
Volume :
10
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
3. Good health and well-being
Funders :
Belgian Federal Government [BE]
FPS Health Federal Public Service Health, Food Chain Safety and Environment [BE]
Available on ORBi :
since 19 September 2023

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