Use Of Nir Hyperspectral Imaging And Multivariate Curve Resolution (mcr) For Detection And Quantification Of Adulterants In Milk Powder

dc.creatorForchetti
dc.creatorDebora A. P.; Poppi
dc.creatorRonei J.
dc.date2017
dc.datemar
dc.date2017-11-13T11:33:08Z
dc.date2017-11-13T11:33:08Z
dc.date.accessioned2018-03-29T05:47:39Z
dc.date.available2018-03-29T05:47:39Z
dc.identifierLwt-food Science And Technology. Elsevier Science Bv, v. 76, p. 337 - 343, 2017.
dc.identifier0023-6438
dc.identifier1096-1127
dc.identifierWOS:000390965700022
dc.identifier10.1016/j.lwt.2016.06.046
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0023643816303784
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/326211
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1363217
dc.descriptionIn this work, a methodology was proposed for detection and quantification of milk powder adulterants based on the combination of near infrared hyperspectral imaging and multivariate curve resolution method (MCR). No priori information about the adulterant present in the sample was necessary and only five sample calibrations were used for development of the calibration model. Mixtures of milk powder with only one adulterant (whey powder, starch, urea and melamine) were studied in concentrations ranged from 5 to 30% (w/w). For melamine, lower concentrations (up to 0.05%) were tested to evaluate de detection ability of the proposed methodology. Also, mixtures of milk powder with 2 (starch/urea) and 3 adulterants (starch/urea/whey powder) were studied in concentrations in the range of 1-10% (w/w). MCR was able to recover the adulterant spectra providing its identification and quantification with absolute errors lower than 5 percentage points. (C) 2016 Elsevier Ltd. All rights reserved.
dc.description76
dc.descriptionpart B
dc.description337
dc.description343
dc.description11th Latin American Symposium on Food Science (SLACA)
dc.descriptionNOV 08-11, 2015
dc.descriptionSao Paulo, BRAZIL
dc.languageEnglish
dc.publisherElsevier Science BV
dc.publisherAmsterdam
dc.relationLWT-Food Science and Technology
dc.rightsfechado
dc.sourceWOS
dc.subjectMilk Powder
dc.subjectAdulterant
dc.subjectHyperspectral Imaging
dc.subjectChemometrics
dc.subjectMultivariate Curve Resolution
dc.titleUse Of Nir Hyperspectral Imaging And Multivariate Curve Resolution (mcr) For Detection And Quantification Of Adulterants In Milk Powder
dc.typeActas de congresos


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