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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/39530
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dc.creatorBruno Gonçalves Botelhopt_BR
dc.creatorKele Cristina Ferreira Dantaspt_BR
dc.creatorMarcelo Martins de Senapt_BR
dc.date.accessioned2022-02-21T19:48:17Z-
dc.date.available2022-02-21T19:48:17Z-
dc.date.issued2017-
dc.citation.volume167pt_BR
dc.citation.spage44pt_BR
dc.citation.epage49pt_BR
dc.identifier.doi10.1016/j.chemolab.2017.05.004pt_BR
dc.identifier.issn01697439pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/39530-
dc.description.resumoThis paper describes the development of an optical sensor device using a smartphone and a homemade dark chamber built with recycled materials. This low cost instrument was employed in the development of multivariate image regression methods for the determination of the azo dye allura red in hard candies. To build the models, 238 candy samples of four flavors and different brands and batches were used. Firstly, a multivariate calibration model using RGB histograms and partial least squares (PLS) was built. This model provided high prediction errors, which were attributed to the presence of textural variations in the images. Then, a more complex image analysis methodology that incorporates spatial information, and consists of preprocessing by a two-dimensional fast Fourier transform followed by multi-way calibration with N-way PLS, provided better results, decreasing the prediction errors around 25–35%. The final model was submitted to a complete multivariate analytical validation, being considered precise, linear, sensitive and unbiased. The analytical range was established between 22.9 and 78.8 mg kg−1 of allura red. Root mean square errors of calibration (RMSEC) and prediction (RMSEP) of 4.8 and 6.1 mg kg−1 were estimated. The developed method is simple, rapid, and nondestructive.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.departmentICX - DEPARTAMENTO DE QUÍMICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofChemometrics and Intelligent Laboratory Systemspt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectMultivariate image analysispt_BR
dc.subjectFood dyespt_BR
dc.subjectCell phonept_BR
dc.subjectOptical sensorpt_BR
dc.subjectChemometricspt_BR
dc.subjectFood quality controlpt_BR
dc.subject.otherTecnologia de alimentospt_BR
dc.titleDetermination of allura red dye in hard candies by using digital images obtained with a mobile phone and N-PLSpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S0169743916304956pt_BR
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