dc.creatorSantos, KM
dc.creatorMoura, MFV
dc.creatorAzevedo, FG
dc.creatorLima, KMG
dc.creatorRaimundo, IM
dc.creatorPasquini, C
dc.date2012
dc.date2014-07-30T13:59:39Z
dc.date2015-11-26T18:05:16Z
dc.date2014-07-30T13:59:39Z
dc.date2015-11-26T18:05:16Z
dc.date.accessioned2018-03-29T00:47:34Z
dc.date.available2018-03-29T00:47:34Z
dc.identifierAnalytical Letters. Taylor & Francis Inc, v. 45, n. 7, n. 774, n. 781, 2012.
dc.identifier0003-2719
dc.identifierWOS:000303820400013
dc.identifier10.1080/00032719.2011.653905
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/55969
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/55969
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1293092
dc.descriptionThis work describes the use of near infrared spectroscopy (NIRS) and chemometric techniques calibration for the classification of coffee samples from different lots and producers acquired in supermarkets and roasting industries in some Brazilian cities. Seventy-three samples of finely ground roasted coffee were acquired in the market and 91 samples of roasted ground Arabica beans were analyzed in the full NIR spectral range (800-2500 nm) using a diffuse reflectance accessory coupled to an MB160 Bomem spectrophotometer. Two classification models were constructed: Soft Independent Modeling Class Analogy (SIMCA) and PLS Discriminant Analysis (PLS-DA). All findings reveal that NIR spectroscopy, coupled with either SIMCA or PLS-DA multivariate models, can be a useful tool to differentiate roasted coffee grains and to replace sensory tests.
dc.description45
dc.description7
dc.description774
dc.description781
dc.languageen
dc.publisherTaylor & Francis Inc
dc.publisherPhiladelphia
dc.publisherEUA
dc.relationAnalytical Letters
dc.relationAnal. Lett.
dc.rightsfechado
dc.rightshttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dc.sourceWeb of Science
dc.subjectCoffee
dc.subjectNIR spectroscopy
dc.subjectPLS-DA
dc.subjectSIMCA
dc.subjectPls-da
dc.subjectAdulteration
dc.subjectQuality
dc.subjectGreen
dc.subjectSimca
dc.titleCLASSIFICATION OF BRAZILIAN COFFEE USING NEAR-INFRARED SPECTROSCOPY AND MULTIVARIATE CALIBRATION
dc.typeArtículos de revistas


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