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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/40656
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dc.creatorLeandro Soares Santospt_BR
dc.creatorRoberta Magalhães Dias Cardozopt_BR
dc.creatorNatália Moreira Nunespt_BR
dc.creatorAndreia Braga Ináciopt_BR
dc.creatorAna Clarissa dos Santos Pirespt_BR
dc.creatorMaximiliano Soares Pintopt_BR
dc.date.accessioned2022-03-31T12:33:16Z-
dc.date.available2022-03-31T12:33:16Z-
dc.date.issued2017-11-
dc.citation.volume70pt_BR
dc.citation.issue4pt_BR
dc.citation.spage492pt_BR
dc.citation.epage498pt_BR
dc.identifier.doihttps://doi.org/10.1111/1471-0307.12370pt_BR
dc.identifier.issn14710307pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/40656-
dc.description.resumoThe classification of traditional Minas cheese (TMC) from different regions is important to ensure authenticity. Different chemometric approaches were used to discriminate TMCs from three different regions (Serro, Canastra and Araxá) of Minas Gerais, Brazil. The data obtained from the literature were used to develop an artificial neural network and to obtain linear discriminant functions, which were able to classify 100% of cheeses from different regions as a function of physico-chemical composition. Both chemometric methods can be very useful tools to discriminate TMC from different regions based on physico-chemical data which are obtained in a very quick and simple way.pt_BR
dc.description.sponsorshipOutra Agênciapt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Journal of Dairy Technologypt_BR
dc.rightsAcesso Restritopt_BR
dc.subject.otherQueijo-de-minaspt_BR
dc.subject.otherQuimiometriapt_BR
dc.subject.otherRedes neuraispt_BR
dc.titleEasy classification of traditional Minas cheeses using artificial neural networks and discriminant analysispt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://onlinelibrary.wiley.com/doi/10.1111/1471-0307.12370pt_BR
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