Variable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars

dc.creatorCarolina Sheng Whei Miaw
dc.creatorMarcelo Martins Sena
dc.creatorScheilla Vitorino Carvalho de Souza
dc.creatorItziar Ruisanchez
dc.creatorMaria Pilar Callao
dc.date.accessioned2022-02-23T10:08:40Z
dc.date.accessioned2022-10-03T22:47:03Z
dc.date.available2022-02-23T10:08:40Z
dc.date.available2022-10-03T22:47:03Z
dc.date.created2022-02-23T10:08:40Z
dc.date.issued2018
dc.identifier10.1016/j.talanta.2018.07.078
dc.identifier00399140
dc.identifierhttp://hdl.handle.net/1843/39605
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3810493
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherBrasil
dc.publisherFAR - DEPARTAMENTO DE ALIMENTOS
dc.publisherICX - DEPARTAMENTO DE QUÍMICA
dc.publisherUFMG
dc.relationTalanta
dc.rightsAcesso Restrito
dc.subjectVariable selection
dc.subjectMulti-class methods
dc.subjectPLS-DA
dc.subjectSIMCA
dc.subjectGrape nectar
dc.subjectFood fraud
dc.titleVariable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars
dc.typeArtigo de Periódico


Este ítem pertenece a la siguiente institución