Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies

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dc.creatorCarolina Sheng Whei Miaw
dc.creatorMarcelo Martins Sena
dc.creatorScheilla Vitorino Carvalho de Souza
dc.creatorMaria Pilar Callao
dc.creatorItziar Ruisanchez
dc.date.accessioned2022-02-23T09:50:23Z
dc.date.accessioned2025-09-09T00:52:28Z
dc.date.available2022-02-23T09:50:23Z
dc.date.issued2018
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.format.mimetypepdf
dc.identifier.doi10.1016/j.foodchem.2018.06.006
dc.identifier.issn03088146
dc.identifier.urihttps://hdl.handle.net/1843/39603
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFood Chemistry
dc.rightsAcesso Aberto
dc.subjectTecnologia de alimentos
dc.subjectSucos
dc.subject.otherFood adulteration
dc.subject.otherFruit nectar
dc.subject.otherPLS-DA
dc.subject.otherSIMCA
dc.subject.otherOne-class classification
dc.subject.otherMulticlass classification
dc.titleDetection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
dc.typeArtigo de periódico
local.citation.epage261
local.citation.spage254
local.citation.volume266
local.description.resumoThere is no any doubt about the importance of food fraud control, as it has implications in food safety and in consumer health. Focusing on fruit beverages, some types of adulterations have been detected more frequently, such as substitution with less expensive fruits. A methodology based on attenuated total reflectance Fourier-transform mid-infrared spectroscopy (ATR-FTIR) and multivariate classification was applied to detect whether grape nectars were adulterated by substitution with apple juice or cashew juice. A total of 126 samples were obtained and analyzed. Two strategies were proposed: one-class and multiclass approaches. Soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA) and partial least squares density modeling (PLS-DM) were used to build the models. Among them, PLS-DA presented the best performance with a sensitivity and specificity of nearly 100%. The multiclass strategy was preferred if the adulterants to be studied are known because it provides additional information.
local.publisher.countryBrasil
local.publisher.departmentFAR - DEPARTAMENTO DE ALIMENTOS
local.publisher.departmentICX - DEPARTAMENTO DE QUÍMICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0308814618309671

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