Fish oil dietary supplements have been linked with health benefits, due to high omega‐3 concentration. The sources of these effects, polyunsaturated fatty acids such as eicosapentaenoic acid and docosahexaenoic acid, are almost exclusively found in seafood products. Our objectives were to characterize the composition of commercial omega‐3 dietary supplements dietary supplements and to generate partial least square regression (PLSR) models using infrared spectroscopy and chemometrics. Fatty acid (FA) composition of oils was determined by FA methyl ester gas chromatography. The supplements encompassed a wide range of FA profiles and delivery methods. Infrared spectral data were collected by portable mid‐infrared Fourier transform infrared (MID FT‐IR) equipment. Principal components analysis (PCA) separated samples based on the type of ester present in the fish oil dietary supplements, showing a strong influence of the 1038 cm−1 band, which is typically associated with C=C and C–O stretching vibrations. In addition, PLSR was used to correlate the spectra data with GC‐FAME results. PCA using the spectroscopy data allowed for tight clustering of fish oil into distinct classes, depending on the source and processing. PLSR using MID FT‐IR spectra and FA composition generated multivariate models with high correlation coefficient (R ≥ 0.93), and SEP between 0.53 and 2.13 g of FA per 100 g of oil. Our results indicate that IR spectroscopy combined with chemometrics provides for robust screening of FA composition of fish oil supplements, and discriminate types of FAs esterification.
Producing quality fried snacks involves monitoring the chemical processes that occur during frying to control oil degradation. Our objective was to evaluate the effects of a Novel Induction Food-Processing Device (NIFPD) on the quality indices of frying oil. Under standard frying conditions, vegetable oil samples (corn and canola) were collected during a standardised frying cycle to test oxidative stability. Fourier transform infrared spectroscopy was used to evaluate and classify samples during the frying time, and standard reference methods used to monitor the oil stability included p-anisidine value, free fatty acid content and CIELAB colour. The induction technology decreased the rate of free fatty acid and aldehyde formation. Tests also showed a marked effect on total colour difference between control and treatment (NIFPD), reducing colour degradation. Overall, our results showed that a patented induction device slows the rate of lipid degradation, resulting 7-20% reduction in formation rate of key quality parameters and significantly longer utilisation of frying oil.
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