Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System

More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected...

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Detalles Bibliográficos
Autores: de Jesús Beleño-Sáenz, Kelvin, Cáceres Tarazona, Juan Martín, Nol, Pauline, Jaimes-Mogollón, Aylen Lisset, Gualdrón-Guerrero, Oscar Eduardo, Barasona García-Arévalo, José Ángel, Durán-Acevedo, Cristhian Manuel, Vicente, Joaquin, Torres, María José, Welearegay, Tesfalem Geremariam, Österlund, Lars, Rhyan, Jack, Ionescu, Radu
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/7342
Acceso en línea:https://hdl.handle.net/20.500.14352/7342
Access Level:acceso abierto
Palabra clave:636.09
Sus scrofa
Bovine tuberculosis
Mycobacterium bovis
Diagnosis
Feces
Volatile organic compounds
Chemical gas sensors
Gold nanoparticles
Organic ligands
Veterinaria
Ganado ovino
Sanidad animal
3109 Ciencias Veterinarias
Descripción
Sumario:More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing pase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.