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From pollen to patterns: authentication and geographical classification of stingless bee honey by melissopalynology and chemometrics

datacite.subject.fosCiências Agrárias
dc.contributor.authorHernández Zarta, Héctor Hernán
dc.contributor.authorCaruso, Sebastian
dc.contributor.authorRessutte, Jéssica
dc.contributor.authorLuz, Cynthia F.P. da
dc.contributor.authorAnjos, O.
dc.contributor.authorSpinosa, Wilma A.
dc.contributor.authorGalvan, Diego
dc.date.accessioned2026-09-29T14:10:34Z
dc.date.available2026-09-29T14:10:34Z
dc.date.issued2026
dc.description.abstractThe geographical origin of stingless bee honey influences its physicochemical, biochemical, and sensory characteristics. In this study, we propose a chemometric approach for the geographical classification and authentication of Brazilian stingless bee honey based on melissopalynological profiling. A dataset of honey samples from five Brazilian states (Par´a, Maranh˜ao and Amazonas in the North; Rio Grande do Sul and Paran´a in the South) and five genera of stingless bees was assembled. Pollen types were identified and quantified under photonic microscopy, and the relative frequencies of key pollen types were used as input variables. Principal Component Analysis (PCA) revealed clear geographical differentiation, with Northern honeys associated with pollen types such as Tapirira guianensis, Triplaris, and Protium, whereas Southern were differentiated from Eucalyptus, Allophylus edulis, and Mimosa scabrella. Partial Least Squares Discriminant Analysis (PLS-DA) modeling achieved a satisfactory classification between Northern and Southern honeys, with zero misclassifications. In addition, a one-class classification using Data-Driven Soft Independent Modeling of Class Analogy (DD-SIMCA) successfully authenticated honeys from Rio Grande do Sul, yielding perfect metrics in sensitivity, specificity, and accuracy. These findings indicate that pollen composition, coupled with robust chemometric analyses, provides reliable markers for the geographical classification and authentication of stingless bee honey.eng
dc.description.sponsorshipThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. Programa Move La America-Capes, EDITAL Nº 07/2024 — grant number [88881.016919/2024-01; 88881.997099/2024-01 and 88881.997510/2024-01]. The author CFPL thanks the Conselho Nacional de Desenvolvimento Cientíıfico e Tecnol´ogico (CNPq) for the Research Productivity Scholarship (process Nº 307607/2022-4). JBR thanks CAPES (Grant number: 88882.448231/2019-01 and 88881.624487/2021-01) for financial support. OA thanks Fundaç˜ao para a Ciˆencia e a Tecnologia (FCT, Portugal) for their financial support through national funds FCT/MCTES (PIDDAC) to CERNAS-IPCB, UIDB/ 00681/2025 (DOI.org/10.54499/UID/00681/2025); CEF, UIDB/ 00239/2025 (DOI: 10.54499/UID/00239/2025) and UID/PRR/00239/ 2025 (DOI: 10.54499/UID/PRR/00239/2025).
dc.identifier.citationHERNÁNDEZ ZARTA, Héctor Hernán [et al.] (2026) - From pollen to patterns: authentication and geographical classification of stingless bee honey by melissopalynology and chemometrics. Food and Humanity. 7:101525. DOI: 10.1016/j.foohum.2026.101525
dc.identifier.doi10.1016/j.foohum.2026.101525
dc.identifier.urihttp://hdl.handle.net/10400.11/11006
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.rights.uriN/A
dc.subjectGeographic origin
dc.subjectMultivariate analysis
dc.subjectSIMCA
dc.subjectPLS-DA
dc.subjectBrazil
dc.titleFrom pollen to patterns: authentication and geographical classification of stingless bee honey by melissopalynology and chemometricseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.titleFood and Humanity
oaire.citation.volume7
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAnjos
person.givenNameOfélia
person.identifier.ciencia-idC21D-D8C7-3037
person.identifier.orcid0000-0003-0267-3252
person.identifier.ridG-2808-2012
person.identifier.scopus-author-id23395659700
relation.isAuthorOfPublicationdf9191ae-0bbb-4bb8-bbdc-0f79c7365876
relation.isAuthorOfPublication.latestForDiscoverydf9191ae-0bbb-4bb8-bbdc-0f79c7365876

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