Determination of disease biomarkers in Eucalyptus by comprehensive two-dimensional gas chromatography and multivariate data analysis

dc.contributor.authorHantao, Leandro Wang
dc.contributor.authorAleme, Helga Gabriela
dc.contributor.authorPassador, Martha Maria [UNESP]
dc.contributor.authorFurtado, Edson Luiz [UNESP]
dc.contributor.authorRibeiro, Fabiana Alves de Lima
dc.contributor.authorPoppi, Ronei Jesus
dc.contributor.authorAugusto, Fabio
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionInstituto Nacional de Ciência e Tecnologia em Bioanalítica (INCTBio)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:28:33Z
dc.date.available2014-05-27T11:28:33Z
dc.date.issued2013-03-01
dc.description.abstractIn this paper is reported the use of the chromatographic profiles of volatiles to determine disease markers in plants - in this case, leaves of Eucalyptus globulus contaminated by the necrotroph fungus Teratosphaeria nubilosa. The volatile fraction was isolated by headspace solid phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography-fast quadrupole mass spectrometry (GC. ×. GC-qMS). For the correlation between the metabolic profile described by the chromatograms and the presence of the infection, unfolded-partial least squares discriminant analysis (U-PLS-DA) with orthogonal signal correction (OSC) were employed. The proposed method was checked to be independent of factors such as the age of the harvested plants. The manipulation of the mathematical model obtained also resulted in graphic representations similar to real chromatograms, which allowed the tentative identification of more than 40 compounds potentially useful as disease biomarkers for this plant/pathogen pair. The proposed methodology can be considered as highly reliable, since the diagnosis is based on the whole chromatographic profile rather than in the detection of a single analyte. © 2013 Elsevier B.V..en
dc.description.affiliationInstitute of Chemistry University of Campinas (Unicamp) CP 6154, 13084-970 Campinas, São Paulo
dc.description.affiliationInstituto Nacional de Ciência e Tecnologia em Bioanalítica (INCTBio) CP 6154 13084-970 Campinas, São Paulo
dc.description.affiliationFaculty of Agronomic Sciences State University Julio de Mesquita Filho (UNESP), Botucatu, São Paulo
dc.description.affiliationUnespFaculty of Agronomic Sciences State University Julio de Mesquita Filho (UNESP), Botucatu, São Paulo
dc.format.extent86-91
dc.identifierhttp://dx.doi.org/10.1016/j.chroma.2013.01.013
dc.identifier.citationJournal of Chromatography A, v. 1279, p. 86-91.
dc.identifier.doi10.1016/j.chroma.2013.01.013
dc.identifier.issn0021-9673
dc.identifier.issn1873-3778
dc.identifier.lattes3845989485833395
dc.identifier.orcid0000-0002-6924-835X
dc.identifier.scopus2-s2.0-84873319418
dc.identifier.urihttp://hdl.handle.net/11449/74654
dc.identifier.wosWOS:000315007900011
dc.language.isoeng
dc.relation.ispartofJournal of Chromatography A
dc.relation.ispartofjcr3.716
dc.relation.ispartofsjr1,378
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectComprehensive two-dimensional gas chromatography
dc.subjectMass spectrometry
dc.subjectMetabolic profiling
dc.subjectOrthogonal signal correction, Unfolded partial least squares discriminant analysis
dc.subjectSolid phase microextraction
dc.subjectAnalytes
dc.subjectChromatographic profiles
dc.subjectComprehensive two-dimensional
dc.subjectDisease biomarker
dc.subjectDisease markers
dc.subjectEucalyptus globulus
dc.subjectGraphic representation
dc.subjectHeadspace solid phase microextraction
dc.subjectLeast Square
dc.subjectMetabolic profiles
dc.subjectMultivariate data analysis
dc.subjectOrthogonal signal correction
dc.subjectPartial least squares-discriminant analysis
dc.subjectQuadrupole mass spectrometry
dc.subjectSolid-phase microextraction
dc.subjectVolatile fractions
dc.subjectChromatographic analysis
dc.subjectChromatography
dc.subjectMathematical models
dc.subjectMetabolism
dc.subjectMultivariant analysis
dc.subjectPlants (botany)
dc.subjectSmoke detectors
dc.subjectDiagnosis
dc.subject2 hexanal
dc.subject2,2 dimethyl valeraldehyde
dc.subject2,4 hexadien 1 ol
dc.subjectalpha bulnesene
dc.subjectalpha cadinene
dc.subjectaromadendrene
dc.subjectbeta eudesmol
dc.subjectbiological marker
dc.subjectcamphene hydrate
dc.subjectcareen
dc.subjectcarveol
dc.subjectcarvone
dc.subjectcineole
dc.subjectcitral
dc.subjectcopaene
dc.subjectgeraniol
dc.subjectgeranyl acetate
dc.subjecthumulene
dc.subjectledol
dc.subjectmyrcene
dc.subjectnerolidol
dc.subjectperillen
dc.subjectpinene
dc.subjectsolusterol
dc.subjectterpinene
dc.subjectterpineol
dc.subjecttrans 3 caren 2 ol
dc.subjectunclassified drug
dc.subjectvalencene
dc.subjectviridiflorol
dc.subjectcontrolled study
dc.subjectdisease marker
dc.subjectfungal plant disease
dc.subjectfungus
dc.subjectgas chromatography
dc.subjectmass fragmentography
dc.subjectmultivariate analysis
dc.subjectnonhuman
dc.subjectpartial least squares regression
dc.subjectplant leaf
dc.subjectpredictive value
dc.subjectpriority journal
dc.subjectreliability
dc.subjectsolid phase microextraction
dc.subjectTeratosphaeria nubilosa
dc.subjectvalidity
dc.subjectEucalyptus
dc.subjectFungi
dc.subjectTeratosphaeria
dc.titleDetermination of disease biomarkers in Eucalyptus by comprehensive two-dimensional gas chromatography and multivariate data analysisen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
unesp.author.lattes3845989485833395[4]
unesp.author.orcid0000-0002-6924-835X[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agronômicas, Botucatupt
unesp.departmentProteção Vegetal - FCApt

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