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Identification of the geographical origin of Spanish beech nuts, Fagus sylvatica L., using a chemometric supervised approach

2024Documento de conferência Acesso aberto
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datacite.subject.fosCiências Agrárias::Biotecnologia Agrária e Alimentar
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorLamas, Sandra
dc.contributor.authorRodrigues, Nuno
dc.contributor.authorHerrero, Baudilio
dc.contributor.authorCasal, Susana
dc.contributor.authorCruz, Rebeca
dc.contributor.authorPereira, José Alberto
dc.contributor.authorPeres, António M.
dc.date.accessioned2025-10-27T15:52:23Z
dc.date.available2025-10-27T15:52:23Z
dc.date.issued2024
dc.description.abstractIn general, dry nuts, such as hazelnuts, almonds, chestnuts and walnuts, composition has been investigated and are well characterized. Nevertheless, other less unknown nuts, such as beech nuts have little information. Beech nuts proceed from the Fagus sylvatica L. tree, which is prevalent in central and southern Europe, and is commonly used for oil extraction. A study carried out by Obranovic et al.1 found that the chemical composition of beech nut oil varies significantly depending on the geographical origin. Siger et al.2 characterized the oil obtained from beech nut seeds, highlighting its high content in linoleic acid. However, scientific data regarding the physicochemical properties and composition of beech nuts are scarce. In this context, this work evaluated whether there are differences in terms of the physicochemical data and composition of the beech nut between regions, by applying a chemometric procedure. Seeds were collected from three different regions in Spain, namely Burgos, León and Palencia. Moisture analysis was performed on the seeds from each region, followed by oil extraction. The extracted oil was subsequently analyzed to determine the total phenolic content, antioxidant activity (using reducing power, ABTS, and DPPH assays), tocopherols composition (including α-, β-, and γ-tocopherol), and fatty acid profiles. A linear discriminant analysis (LDA) was performed, establishing a multivariate classification model based on six variables selected as the most informative predictors, by the simulated annealing (SA) algorithm: moisture content and the relative abundance of C16:1, C18:3, C20:2, C22:0 and C22:1. The LDA-SA model allowed 100% of correct classifications for training (Figure 1). Furthermore, when using leave-one-out cross validation (LOO-CV), the model kept 100% of sensitivity, highlighting its robustness. A repeated K-fold CV was further performed to verify the accuracy of the proposed methodology, showing an average correct classification of 97.5% of the samples studied when 25% of the dataset was kept aside for internal validation. The satisfactory classification results achieved allow the conclusion that the six variables selected may be seen as geographical biomarkers and can be used to develop a robust tool for identifying the geographical origin of beech nuts.eng
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020, https://doi.org/10.54499/UIDB/00690/2020; and UIDP/00690/2020, https://doi.org/10.54499/UIDP/00690/2020), CEB (UIDB/04469/2020) units as well as to the Associate Laboratory SusTEC (LA/P/0007/2020). National funding by FCT- Foundation for Science and Technology, through the institutional scientific employment program-contract with Nuno Rodrigues. Sandra Lamas acknowledges the Ph.D. research grant (2022.10070.BD) provided by FCT.
dc.identifier.citationLamas, Sandra; Rodrigues, Nuno; Herrero, Baudilio; Casal, Susana; Cruz, Rebeca; Pereira, José Alberto; Peres, António M. (2024). Identification of the geographical origin of Spanish beech nuts, Fagus sylvatica L., using a chemometric supervised approach. In XVII Encontro Nacional Química dos Alimentos. Vila Real. ISBN 978-989-8124-45-6
dc.identifier.issn978-989-8124-45-6
dc.identifier.urihttp://hdl.handle.net/10198/34891
dc.language.isoeng
dc.peerreviewedyes
dc.publisherUniversidade de Trás-os-Montes e Alto Douro
dc.relationMountain Research Center
dc.relationUIDB/04469/2020
dc.relationLA/P/0007/2020
dc.relation2022.10070.BD
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNuts
dc.titleIdentification of the geographical origin of Spanish beech nuts, Fagus sylvatica L., using a chemometric supervised approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceVila Real
oaire.citation.endPage196
oaire.citation.startPage196
oaire.citation.titleXVII Encontro Nacional Química dos Alimentos
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLamas
person.familyNameRodrigues
person.familyNamePereira
person.familyNamePeres
person.givenNameSandra
person.givenNameNuno
person.givenNameJosé Alberto
person.givenNameAntónio M.
person.identifier107333
person.identifier.ciencia-id311F-FE90-417F
person.identifier.ciencia-idF41D-B424-5F78
person.identifier.ciencia-id611F-80B2-A7C1
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0002-4334-1636
person.identifier.orcid0000-0002-9305-0976
person.identifier.orcid0000-0002-2260-0600
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridL-6798-2014
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id57225883755
person.identifier.scopus-author-id55258560600
person.identifier.scopus-author-id57204366348
person.identifier.scopus-author-id7102331969
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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