Fluorescence spectroscopy as tool for the geographical discrimination of coffees produced in different regions of Minas Gerais State in Brazil

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dc.creatorBruno Gonçalves Botelho
dc.creatorLeandro Soares de Oliveira
dc.creatorAdriana Silva Franca
dc.date.accessioned2022-02-21T19:56:33Z
dc.date.accessioned2025-09-09T00:54:31Z
dc.date.available2022-02-21T19:56:33Z
dc.date.issued2017
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.format.mimetypepdf
dc.identifier.doi10.1016/j.foodcont.2017.01.020
dc.identifier.issn09567135
dc.identifier.urihttps://hdl.handle.net/1843/39534
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFood Control
dc.rightsAcesso Restrito
dc.subjectTecnologia de alimentos
dc.subjectCafé
dc.subject.otherFluorescence spectroscopy
dc.subject.otherUPLS-DA
dc.subject.otherPARAFAC
dc.subject.otherCoffee
dc.subject.otherNPLS-DA
dc.subject.otherGeographical origin
dc.titleFluorescence spectroscopy as tool for the geographical discrimination of coffees produced in different regions of Minas Gerais State in Brazil
dc.typeArtigo de periódico
local.citation.epage31
local.citation.spage25
local.citation.volume77
local.description.resumoThe designation of origin of high-value agricultural and food products has become increasingly relevant for the producers, since it allows the consumers to relate the singular characteristics of their preferred product to its respective provenance. Thus, coffee producers are in pursuit of ways to certify their products according to their authenticity pertaining provenance. Fluorescence spectroscopy was applied in order to develop a geographical discrimination model of coffees produced in Minas Gerais State, Brazil. PARAFAC, NPLS-DA and UPLS-DA were used in order to discriminate samples produced in four major production areas in Minas Gerais, namely Cerrado Mineiro (CM), Matas de Minas (MM), Norte de Minas (NM) e Sul de Minas (SM). The UPLS-DA presented the best results, with f-scores for CM and SM higher than 0.8, for both training and test sets, which indicates good classification. MM model presented a good f-score for the training set (1.000), but a poor result was obtained for the test set (0.250), mainly due to false positive samples. NM models presented an intermediary result, with a f-score of 0.913 for training set and 0.625 for test set. The proposed method requires a simple sample pre-treatment, it is fast and can be used for the determination of the geographical origin of coffees produced in Minas Gerais State.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA MECÂNICA
local.publisher.departmentFAR - DEPARTAMENTO DE ALIMENTOS
local.publisher.departmentICX - DEPARTAMENTO DE QUÍMICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0956713517300300?via%3Dihub

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