Multivariate quality control applied to detect the soybean oil oxidation using Fourier transform infrared spectroscopy

dc.creatorBarthus, RC
dc.creatorPoppi, RJ
dc.date2002
dc.date2014-11-14T08:00:56Z
dc.date2015-11-26T17:13:51Z
dc.date2014-11-14T08:00:56Z
dc.date2015-11-26T17:13:51Z
dc.date.accessioned2018-03-29T00:02:12Z
dc.date.available2018-03-29T00:02:12Z
dc.identifierSpectroscopy Letters. Marcel Dekker Inc, v. 35, n. 5, n. 729, n. 739, 2002.
dc.identifier0038-7010
dc.identifierWOS:000178981500009
dc.identifier10.1081/SL-120014943
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/82062
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/82062
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/82062
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281672
dc.descriptionMultivariate quality control was used in conjunction. with Fourier transform infrared spectroscopy to detect the oxidation process in soybean oils. The multivariate approach was abased on principal component analysis (PCA) to develop two control charts: a T-2 chart using the most significant principal components and a Q chart with the remaining PCs hot used in the first one. From these-two charts it was possible to identify oxidation levels in oil samples which were out of the pattern normally present in edible soybean oils.
dc.description35
dc.description5
dc.description729
dc.description739
dc.languageen
dc.publisherMarcel Dekker Inc
dc.publisherNew York
dc.publisherEUA
dc.relationSpectroscopy Letters
dc.relationSpectr. Lett.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectmultivariate quality control
dc.subjectPCA
dc.subjectvegetable oils
dc.subjectChromatography
dc.titleMultivariate quality control applied to detect the soybean oil oxidation using Fourier transform infrared spectroscopy
dc.typeArtículos de revistas


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