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Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview

dc.contributor.authorPereira, Jorge
dc.contributor.authorPorto-Figueira, Priscilla
dc.contributor.authorCavaco, Carina
dc.contributor.authorTaunk, Khushman
dc.contributor.authorRapole, Srikanth
dc.contributor.authorDhakne, Rahul
dc.contributor.authorNagarajaram, Hampapathalu
dc.contributor.authorCâmara, José
dc.date.accessioned2021-12-02T15:17:11Z
dc.date.available2021-12-02T15:17:11Z
dc.date.issued2015
dc.description.abstractCurrently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, J., Porto-Figueira, P., Cavaco, C., Taunk, K., Rapole, S., Dhakne, R., ... & Câmara, J. S. (2015). Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview. Metabolites, 5(1), 3-55. https://doi.org/10.3390/metabo5010003pt_PT
dc.identifier.doi10.3390/metabo5010003pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/3881
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationStrategic Project - UI 674 - 2011-2012
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectExhaled Breath (EB) analysispt_PT
dc.subjectDisease diagnosispt_PT
dc.subjectVolatile organic compounds (VOCs)pt_PT
dc.subjectVolatile fingerprintpt_PT
dc.subjectBreath analysis based disease diagnosis (BADD)pt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectCentro de Química da Madeira
dc.titleBreath analysis as a potential and non-invasive frontier in disease diagnosis: an overviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 674 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FQUI%2FUI0674%2F2011/PT
oaire.citation.endPage55pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage3pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAugusto Machado Pereira
person.familyNamePorto-Figueira
person.familyNameTAUNK
person.familyNameCâmara
person.givenNameJorge
person.givenNamePriscilla
person.givenNameKHUSHMAN
person.givenNameJosé
person.identifierG-3003-2013
person.identifier.ciencia-idEC12-EE8F-50E8
person.identifier.ciencia-idAD11-4860-FB1B
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0003-0316-5348
person.identifier.orcid0000-0001-7773-182X
person.identifier.orcid0000-0003-2293-2936
person.identifier.orcid0000-0003-1965-3151
person.identifier.scopus-author-id56724173300
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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