Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.

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dc.contributorLAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
dc.contributorFERNANDA CARLA BÖCK, Institute of Chemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
dc.contributorMATEUS PIRES SCHNEIDER, Institute of Chemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
dc.contributorNATALIA ALEJANDRA PISONI CANEDO REIS, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
dc.contributorLETICIA FLORES DA SILVA, CNPUV
dc.contributorKELLY CHRISTINA MENDES DE SOUZA, Instituto de Ciˆencias Exatas-ICE. Universidade Federal do Sul e Sudeste do Para-Unifesspa
dc.contributorCELITO CRIVELLARO GUERRA, CNPUV
dc.contributorADRIANO DE ARAÚJO GOMES, Instituto de Ciˆencias Exatas-ICE. Universidade Federal do Sul e Sudeste do Pará-Unifesspa
dc.contributorANA MARIA BERGOLD, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
dc.contributorMARCO FLÔRES FERRÂO, Instituto Nacional de Ciˆencia e Tecnologia-Bioanalítca (INCT-Bioanalítica), Cidade Universit´aria, Zeferino Vaz s/n, Campinas, São Paulo, Brazil.
dc.creatorVINCIGUERRA, L. L.
dc.creatorBÖCK, F. C.
dc.creatorSCHNEIDER, M. P.
dc.creatorREIS, N. A. P. C.
dc.creatorSILVA, L. F. da
dc.creatorSOUZA, K. C. M de
dc.creatorGUERRA, C. C.
dc.creatorGOMES, A. de A.
dc.creatorBERGOLD, A. M.
dc.creatorFERRÂO, M. F.
dc.date2021-06-21T13:06:01Z
dc.date2021-06-21T13:06:01Z
dc.date2021-06-21
dc.date2021
dc.date.accessioned2026-07-07T11:28:41Z
dc.descriptionEEM data recorded at different pH values was exploited by MCR-ALS in order to determine qualitative information about Brazilian red wines. In addition, the geographical traceability of wines produced in the Serra Gaúcha (Rio Grande do Sul) was carried out by DD-SIMCA considering 53 samples from the target class and 20 from other producing regions. The fluorescence signal corresponds to 9 EEMs recorded at different pH (3?11), generating four-way data. By MCR-ALS decomposition, eight factors were retrieved and related to typical chemical compounds found in red wine. In addition, the EEM pH data was used to build a one-class classification model, considering that MCR scores and all samples of the target class were properly recognised as belonging to the target class, with maximal sensitivity equal to 1. Samples of the non-target class were also adequately rejected by the model, and the specificity was found to be 0.97.
dc.identifierFood Chemistry, v. 362, n. 130087, 2021.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1132416
dc.identifier.urihttp://hdl.handle.net/123456789/509392
dc.languageeng
dc.rightsopenAccess
dc.subjectMultiway data
dc.subjectMCR-ALS
dc.subjectRed wine
dc.subjectOne-class classification
dc.subjectSerra Gaúcha
dc.titleGeographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
dc.typeArtigo de periódico

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