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• W2034825096 abstract "Discrimination between virgin olive oils and pure olive oils is of primary importance for controlling adulterations. Here, we show the potential usefulness of two multiway methods, unfold principal component analysis (U-PCA) and parallel factor analysis (PARAFAC), for the exploratory analysis of the two types of oils. We applied both methods to the excitation–emission fluorescence matrices (EEM) of olive oils and then compared the results with the ones obtained by multivariate principal component analysis (PCA) based on a fluorescence spectrum recorded at only one excitation wavelength. For U-PCA and PARAFAC, the ranges studied were λex=300–400 nm, λem=400–695 nm and λex=300–400 nm, λem=400–600 nm. The first range contained chlorophylls, whose peak was much more intense than those of the rest of species. The second range did not contain the chlorophylls peak but only the fluorescence spectra of the remaining compounds (oxidation products and Vitamin E). The three-component PARAFAC model on the second range was found to be the most interpretable. With this model, we could distinguish well between the two groups of oils and we could find the underlying fluorescent spectra of three families of compounds." @default.
• W2034825096 created "2016-06-24" @default.
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• W2034825096 date "2004-07-01" @default.
• W2034825096 modified "2023-09-23" @default.
• W2034825096 title "Application of unfold principal component analysis and parallel factor analysis to the exploratory analysis of olive oils by means of excitation–emission matrix fluorescence spectroscopy" @default.
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• W2034825096 doi "https://doi.org/10.1016/j.aca.2004.01.008" @default.
• W2034825096 hasPublicationYear "2004" @default.
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