Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/82062
Type: Artigo de periódico
Title: Multivariate quality control applied to detect the soybean oil oxidation using Fourier transform infrared spectroscopy
Author: Barthus, RC
Poppi, RJ
Abstract: Multivariate 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.
Subject: multivariate quality control
PCA
vegetable oils
Country: EUA
Editor: Marcel Dekker Inc
Rights: fechado
Identifier DOI: 10.1081/SL-120014943
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

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