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Advanced classification of Brazilian stingless bee honey by genus using comprehensive analytical techniques and chemometrics

2025Journal article Restricted access
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dc.contributor.authorRessutte, Jéssica
dc.contributor.authorGalvan, Diego
dc.contributor.authorLuz, Cynthia F.P. da
dc.contributor.authorGonçalves, Ana Margarida
dc.contributor.authorRebelo, Kemilla S.
dc.contributor.authorSattler, José Augusto G.
dc.contributor.authorPassarinha, Luis A.
dc.contributor.authorGallardo, Eugenia
dc.contributor.authorAnjos, O.
dc.contributor.authorSpinosa, Wilma A.
dc.date.accessioned2025-01-03T12:54:33Z
dc.date.available2025-01-03T12:54:33Z
dc.date.issued2025
dc.description.abstractThis study aimed to investigate Brazilian stingless bee honey (SBH) to compare their chemical compositions. Fifty-five samples from the genera Melipona, Scaptotrigona, Frieseomelitta, Tetragona, and Tetragonisca, collected from five regions were evaluated by melissopalynological and physicochemical analysis, phenolic compounds, sugar profiling, and FTIR-ATR. Multiblock Analysis (MA) was employed to discriminate and assess the influence of entomological (bee genus) and geographical origins on the honey's characteristics. Subsequently, Linear Discriminant Analysis (LDA) and Partial Least Squares Discriminant Analysis (PLS-DA) were employed to classify the samples based on quantitative data and FTIR-ATR spectra, respectively. The primary factor influencing the chemical profile of Brazilian SBH was entomological origin. MA partially separated samples, while LDA and PLS-DA effectively predicted Melipona, Scaptotrigona, and Tetragonisca samples. Key parameters for separation using MA included sugar profile, phenolic compounds, and FTIR-ATR regions (1800–750 cm⁻¹). In the LDA model, electrical conductivity, pH, color (a*), raffinose content, reducing sugars, and trehalulose + maltose were key for classification. For PLS-DA, spectral regions 1610–1557 cm⁻¹ , 1126–960 cm⁻¹ , and 1170–915 cm⁻¹ were critical for distinguishing samples. This study enhances the understanding of how entomological and geographic factors influence Brazilian SBH characteristics and supports its traceability for quality and authenticity.pt_PT
dc.description.sponsorshipJéssica Ressutte thanks Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) (Grant number: 88882.448231/2019-01 and 88881.624487/2021-01) for financial support. Eugenia Gallardo, Ana Margarida Gonçalves and Luis Passarinha are grateful to Fundação para a Ciência e a Tecnologia (FCT, Portugal) for their financial support (CICS-UBI (DOI: 10.54499/UIDB/00709/2020 and DOI:10.54499/UIDP/00709/2020). Oféelia Anjos thanks Fundação para a Ciência e a Tecnologia (FCT, Portugal) for their financial support through national funds FCT/MCTES (PIDDAC) to CERNAS-IPCB, UIDB/ 00681/2020 (DOI: 10.54499/UIDP/00681/2020); CEF, UIDB/00239/2020 (DOI: 10.54499/UIDB/00239/2020) and TERRA (DOI: 10.54499/LA/P/0092/2020).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRESSUTTE, Jéssica B. [et al.] (2025) - Advanced classification of Brazilian stingless bee honey by genus using comprehensive analytical techniques and chemometrics. Journal of Food Composition and Analysis. 139, p. 107138. DOI: 10.1016/j.jfca.2024.107138pt_PT
dc.identifier.doi10.1016/j.jfca.2024.107138pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/9260
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectMultivariate analysispt_PT
dc.subjectHoney discriminationpt_PT
dc.subjectMultiblock analysispt_PT
dc.subjectSugar profilept_PT
dc.subjectFTIR-ATRpt_PT
dc.titleAdvanced classification of Brazilian stingless bee honey by genus using comprehensive analytical techniques and chemometricspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage107138pt_PT
oaire.citation.titleJournal of Food Composition and Analysispt_PT
oaire.citation.volume139pt_PT
person.familyNameGallardo
person.familyNameAnjos
person.givenNameEugenia
person.givenNameOfélia
person.identifier.ciencia-idF617-5CA5-EF61
person.identifier.ciencia-idC21D-D8C7-3037
person.identifier.orcid0000-0002-1802-8998
person.identifier.orcid0000-0003-0267-3252
person.identifier.ridG-2808-2012
person.identifier.scopus-author-id23395659700
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication813b1412-acc9-471c-9358-f6d9e904cbf1
relation.isAuthorOfPublicationdf9191ae-0bbb-4bb8-bbdc-0f79c7365876
relation.isAuthorOfPublication.latestForDiscovery813b1412-acc9-471c-9358-f6d9e904cbf1

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