2018
DOI: 10.1007/s12161-018-1315-x
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A Feasibility Study of the Rapid Evaluation of Oil Oxidation Using Synchronous Fluorescence Spectroscopy

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Cited by 11 publications
(3 citation statements)
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“…The SF spectroscopy was also used by other authors to characterize and evaluate the quality of various vegetable oils based on their degree of oxidation [ 32 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ]. The SF spectra of vegetable oils exhibited that the fluorescence bands attributed to tocopherols, chlorophylls, and pheophytins in the ranges of 300–370 nm and 550–700 nm, respectively, decreased during oxidation stages under various conditions.…”
Section: Resultsmentioning
confidence: 99%
“…The SF spectroscopy was also used by other authors to characterize and evaluate the quality of various vegetable oils based on their degree of oxidation [ 32 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ]. The SF spectra of vegetable oils exhibited that the fluorescence bands attributed to tocopherols, chlorophylls, and pheophytins in the ranges of 300–370 nm and 550–700 nm, respectively, decreased during oxidation stages under various conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Many analytical techniques have been used to assess the quality and investigate the adulteration of oils, for example 1H and 13C nuclear magnetic resonance (NMR) imaging [14], near infrared resonance (NIR) [15] and mid infrared resonance (MIR). Some other spectroscopic techniques, such as Raman spectroscopy [16][17][18], fluorescence spectroscopy [19][20][21], Fourier transform infrared (FTIR) spectroscopy [22,23], and ultraviolet spectrometry [24,25] have great potential for characterizing different olive oil samples from the point of view of organic substances and hence detecting their adulteration. Inductive coupled plasma optical emission spectroscopy (ICP OES), inductive coupled plasma mass spectrometry (ICP MS) and graphite furnace atomic absorption spectrometry (GF AAS) [26][27][28][29][30] are widely used to investigate the trace element content in oils.…”
Section: Introductionmentioning
confidence: 99%
“…Parallel factor analysis (PARAFAC) is a very widespread method to decompose multi-way data into their underlying chemical components [15] [16]. It had a good application in evaluating oil quality based on pattern recognition method [17]. Another matter deserving attention is interval partial least square (iPLS) and synergy interval PLS (siPLS).…”
Section: Introductionmentioning
confidence: 99%