1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/40513
Full metadata record
DC FieldValueLanguage
dc.creatorCarina de Souza Gondimpt_BR
dc.creatorRoberto Gonçalves Junqueirapt_BR
dc.creatorScheilla Vitorino Carvalho de Souzapt_BR
dc.creatorItziar Ruisánchezpt_BR
dc.creatorMaria Pilar Callaopt_BR
dc.date.accessioned2022-03-28T20:14:18Z-
dc.date.available2022-03-28T20:14:18Z-
dc.date.issued2017-09-
dc.citation.volume230pt_BR
dc.citation.spage68pt_BR
dc.citation.epage75pt_BR
dc.identifier.doi10.1016/j.foodchem.2017.03.022pt_BR
dc.identifier.issn03088146pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/40513-
dc.description.resumoA sequential strategy was proposed to detect adulterants in milk using a mid-infrared spectroscopy and soft independent modelling of class analogy technique. Models were set with low target levels of adulterations including formaldehyde (0.074 g.L−1), hydrogen peroxide (21.0 g.L−1), bicarbonate (4.0 g.L−1), carbonate (4.0 g.L−1), chloride (5.0 g.L−1), citrate (6.5 g.L−1), hydroxide (4.0 g.L−1), hypochlorite (0.2 g.L−1), starch (5.0 g.L−1), sucrose (5.4 g.L−1) and water (150 g.L−1). In the first step, a one-class model was developed with unadulterated samples, providing 93.1% sensitivity. Four poorly assigned adulterants were discarded for the following step (multi-class modelling). Then, in the second step, a multi-class model, which considered unadulterated and formaldehyde-, hydrogen peroxide-, citrate-, hydroxide- and starch-adulterated samples was implemented, providing 82% correct classifications, 17% inconclusive classifications and 1% misclassifications. The proposed strategy was considered efficient as a screening approach since it would reduce the number of samples subjected to confirmatory analysis, time, costs and errors.pt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFAR - DEPARTAMENTO DE ALIMENTOSpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofFood Chemistrypt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectMilk adulterationpt_BR
dc.subjectOne-class modellingpt_BR
dc.subjectAdulterant detectionpt_BR
dc.subjectMulti-class modellingpt_BR
dc.subjectMultivariate SIMCA screeningpt_BR
dc.subject.otherTecnologia de alimentospt_BR
dc.subject.otherLeitept_BR
dc.titleDetection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategiespt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S0308814617303874pt_BR
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Detection of several common adulterants in raw milk by MID-infrared spectroscopy and one-class and multi-class multivariate strategies.pdf923.1 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.