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

This article belongs to the Special Issue Electronic Noses and Tongues for Environmental Monitoring.

Detalhes bibliográficos
Autores: Beleño-Sáenz, Kelvin de Jesús, Cáceres-Tarazona, Juan Martín, Nol, Pauline, Jaimes-Mogollón, Aylen Lisset, Gualdrón-Guerrero, Oscar Eduardo, Durán-Acevedo, Cristhian Manuel, Barasona, José A., Vicente, Joaquín, Torres-Sánchez, María José, Welearegay, Tesfalem Geremariam, Österlund, Lars, Rhyan, Jack C., Ionescu, Radu
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/265206
Acesso em linha:http://hdl.handle.net/10261/265206
https://doi.org/10.3390/s21020584
Access Level:acceso abierto
Palavra-chave:Sus scrofa
Volatile organic compounds
Bovine tuberculosis
Feces
Mycobacterium bovis
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spelling 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 systemBeleño-Sáenz, Kelvin de JesúsCáceres-Tarazona, Juan MartínNol, PaulineJaimes-Mogollón, Aylen LissetGualdrón-Guerrero, Oscar EduardoDurán-Acevedo, Cristhian ManuelBarasona, José A.Vicente, JoaquínTorres-Sánchez, María JoséWelearegay, Tesfalem GeremariamÖsterlund, LarsRhyan, Jack C.Ionescu, RaduSus scrofaVolatile organic compoundsBovine tuberculosisFecesMycobacterium bovisThis article belongs to the Special Issue Electronic Noses and Tongues for Environmental Monitoring.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 phase 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.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.Peer reviewedMultidisciplinary Digital Publishing InstituteDepartment of Agriculture (US)Wildlife Services (US)CSIC-UCLM - Instituto de Investigación en Recursos Cinegéticos (IREC)European CommissionMinisterio de Economía y Competitividad (España)European Research CouncilConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/265206https://doi.org/10.3390/s21020584reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO//AGL2016-76358-Rinfo:eu-repo/grantAgreement/EC/H2020/777832info:eu-repo/grantAgreement/EC/H2020/857418https://doi.org/10.3390/s21020584Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2652062026-05-22T06:33:51Z
dc.title.none.fl_str_mv 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
title 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
spellingShingle 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
Beleño-Sáenz, Kelvin de Jesús
Sus scrofa
Volatile organic compounds
Bovine tuberculosis
Feces
Mycobacterium bovis
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
dc.creator.none.fl_str_mv Beleño-Sáenz, Kelvin de Jesús
Cáceres-Tarazona, Juan Martín
Nol, Pauline
Jaimes-Mogollón, Aylen Lisset
Gualdrón-Guerrero, Oscar Eduardo
Durán-Acevedo, Cristhian Manuel
Barasona, José A.
Vicente, Joaquín
Torres-Sánchez, María José
Welearegay, Tesfalem Geremariam
Österlund, Lars
Rhyan, Jack C.
Ionescu, Radu
author Beleño-Sáenz, Kelvin de Jesús
author_facet Beleño-Sáenz, Kelvin de Jesús
Cáceres-Tarazona, Juan Martín
Nol, Pauline
Jaimes-Mogollón, Aylen Lisset
Gualdrón-Guerrero, Oscar Eduardo
Durán-Acevedo, Cristhian Manuel
Barasona, José A.
Vicente, Joaquín
Torres-Sánchez, María José
Welearegay, Tesfalem Geremariam
Österlund, Lars
Rhyan, Jack C.
Ionescu, Radu
author_role author
author2 Cáceres-Tarazona, Juan Martín
Nol, Pauline
Jaimes-Mogollón, Aylen Lisset
Gualdrón-Guerrero, Oscar Eduardo
Durán-Acevedo, Cristhian Manuel
Barasona, José A.
Vicente, Joaquín
Torres-Sánchez, María José
Welearegay, Tesfalem Geremariam
Österlund, Lars
Rhyan, Jack C.
Ionescu, Radu
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Department of Agriculture (US)
Wildlife Services (US)
CSIC-UCLM - Instituto de Investigación en Recursos Cinegéticos (IREC)
European Commission
Ministerio de Economía y Competitividad (España)
European Research Council
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Sus scrofa
Volatile organic compounds
Bovine tuberculosis
Feces
Mycobacterium bovis
topic Sus scrofa
Volatile organic compounds
Bovine tuberculosis
Feces
Mycobacterium bovis
description This article belongs to the Special Issue Electronic Noses and Tongues for Environmental Monitoring.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/265206
https://doi.org/10.3390/s21020584
url http://hdl.handle.net/10261/265206
https://doi.org/10.3390/s21020584
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO//AGL2016-76358-R
info:eu-repo/grantAgreement/EC/H2020/777832
info:eu-repo/grantAgreement/EC/H2020/857418
https://doi.org/10.3390/s21020584
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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