Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

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

Citation

Abstract

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.

Research Projects

Organizational Units

Journal Issue

Description

This research was funded by the United States Department of Agriculture, Animal and Plant Health Services, Wildlife Services, National Feral Swine Program, the United States Department of Agriculture, Animal and Plant Health Services, Veterinary Services (contract no. 15-9408-0367), the SaBio Instituto de Investigación en Recursos Cinegéticos (IREC) (MINECO, AEI/FEDER, UE, AGL2016-76358-R), European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 777832, and COMBIVET ERA Chair, H2020-WIDESPREAD-2018-04, grant agreement no. 857418.

Keywords

Collections