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Breath volatile organic compounds (VOCs) as biomarkers for the diagnosis of pathological conditions

2023-08Recensão Acesso aberto
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dc.contributor.authorMoura, Pedro Catalão
dc.contributor.authorRaposo, Maria
dc.contributor.authorVassilenko, Valentina
dc.contributor.institutionLIBPhys-UNL
dc.contributor.pblElsevier BV
dc.date.accessioned2023-11-08T22:09:28Z
dc.date.available2023-11-08T22:09:28Z
dc.date.issued2023-08
dc.descriptionPublisher Copyright: © 2023 The Authors
dc.description.abstractNormal and abnormal/pathological status of physiological processes in the human organism can be characterized through Volatile Organic Compounds (VOCs) emitted in breath. Recently, a wide range of volatile analytes has risen as biomarkers. These compounds have been addressed in the scientific and medical communities as an extremely valuable metabolic window. Once collected and analysed, VOCs can represent a tool for a rapid, accurate, non-invasive, and painless diagnosis of several diseases and health conditions. These biomarkers are released by exhaled breath, urine, faeces, skin, and several other ways, at trace concentration levels, usually in the ppbv (μg/L) range. For this reason, the analytical techniques applied for detecting and clinically exploiting the VOCs are extremely important. The present work reviews the most promising results in the field of breath biomarkers and the most common methods of detection of VOCs. A total of 16 pathologies and the respective database of compounds are addressed. An updated version of the VOCs biomarkers database can be consulted at: https://neomeditec.com/VOCdatabase/en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent16
dc.format.extent1364707
dc.identifier.doi10.1016/j.bj.2023.100623
dc.identifier.issn2319-4170
dc.identifier.otherPURE: 75689825
dc.identifier.otherPURE UUID: 91b5555f-704f-41b6-ab93-de0c143b1d4f
dc.identifier.otherScopus: 85165277465
dc.identifier.otherWOS: 001034575300001
dc.identifier.otherPubMed: 37336362
dc.identifier.otherPubMedCentral: PMC10339195
dc.identifier.urihttp://hdl.handle.net/10362/159724
dc.identifier.urlhttps://www.scopus.com/pages/publications/85165277465
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04559%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04559%2F2020/PT
dc.relationLaboratory for Instrumentation, Biomedical Engineering and Radiation Physics
dc.relationDevelopment of method for automatic on-line monitoring of VOC in automative plant and direct evalation of its impact on employers
dc.subjectBiomarkers
dc.subjectBreath sampling
dc.subjectExhaled breath
dc.subjectVOCs
dc.subjectVolatile organic compounds
dc.subjectGeneral Medicine
dc.subjectSDG 3 - Good Health and Well-being
dc.titleBreath volatile organic compounds (VOCs) as biomarkers for the diagnosis of pathological conditionsen
dc.title.subtitleA reviewen
dc.typereview
degois.publication.issue4
degois.publication.titleBiomedical Journal
degois.publication.volume46
dspace.entity.typePublication
oaire.awardNumberUIDP/04559/2020
oaire.awardNumberPD/BDE/150627/2020
oaire.awardTitleLaboratory for Instrumentation, Biomedical Engineering and Radiation Physics
oaire.awardTitleDevelopment of method for automatic on-line monitoring of VOC in automative plant and direct evalation of its impact on employers
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04559%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150627%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication59c54e51-e2a0-4f5d-984b-833807681107
relation.isProjectOfPublication8dfa6772-17a1-4e2d-9f4c-c1ea5d85366a
relation.isProjectOfPublication.latestForDiscovery8dfa6772-17a1-4e2d-9f4c-c1ea5d85366a

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