2022
DOI: 10.1016/j.resconrec.2021.106088
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Application of IR and UV–VIS spectroscopies and multivariate analysis for the classification of waste vegetable oils

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Cited by 14 publications
(6 citation statements)
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“…As reported for similar matrixes such as frying oils [16] or wines [17], in such cases Looking at Figure 4 it is evident that the PCA tool is suitable to distinguish between extracts obtained at different temperatures. Control samples results are superposed to the 40 • C group.…”
Section: Resultssupporting
confidence: 55%
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“…As reported for similar matrixes such as frying oils [16] or wines [17], in such cases Looking at Figure 4 it is evident that the PCA tool is suitable to distinguish between extracts obtained at different temperatures. Control samples results are superposed to the 40 • C group.…”
Section: Resultssupporting
confidence: 55%
“…As reported for similar matrixes such as frying oils [16] or wines [17], in such cases where the number of variables is higher than the number of observations, Partial Least Square Discriminant Analysis (PLS-DA) can allow suitable clusters for classification purposes [18,19]. In Figure 5, the corresponding PLS-DA plot is reported.…”
Section: Resultsmentioning
confidence: 92%
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“…The ultraviolet spectral data were obtained by a Shimadzu UV-1601 spectrophotometer (Tokyo, Japan). UV-Vis spectroscopy is concerned with the absorption of radiation in the ultraviolet and visible spectra and mostly used for quantitative analysis [ 35 ]. This radiation permits electrons in atoms or molecules to shift from lower to higher energy levels.…”
Section: Methodsmentioning
confidence: 99%
“…Chemometric tools are powerful techniques for classifying and evaluating the quality of food products. Among them, principal component analysis (PCA) allows for the identification of properties that are involved in the classification of the samples, as well as for the identification of their similarities/dissimilarities, and adulterations or degradations [ 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ]. There are applications of PCA and other multivariate statistical techniques to the classification and evaluation of the quality and adulteration of vegetable and animal products [ 58 , 59 , 61 , 62 , 64 , 65 , 67 , 68 , 69 , 70 , 71 , 72 ].…”
Section: Introductionmentioning
confidence: 99%