Vitamin E is an essential nutrient, but its poor water solubility limits food and pharmaceutical applications. The usability of vitamin E can be enhanced via modification methods such as encapsulation, which transforms the physical state of vitamin E from a liquid to a powder. This study examined the efficacy of near-infrared (NIR) and mid-infrared (MIR) spectroscopy in identifying and predicting various vitamin E derivatives in vitamin E-encapsulated powder (VEP). An MIR analysis revealed the fundamental C-H vibrations of vitamin E in the range of 2700-3250 cm, whereas an NIR analysis provided information about the corresponding combination, first, and second overtones in the range of 4000-9000 cm. The MIR and NIR data were analyzed using a principal component analysis to characterize the VEP. Partial least squares (PLS) regression was applied to predict the content of individual vitamin E derivatives. PLS cross-validation revealed that NIR analysis provides more reliable predictive accuracy and precision for the contents of vitamin E derivatives, achieving a higher coefficient of determination for prediction (Q) (0.92-0.99) than MIR analysis (0.20-0.85). For test set validation, the NIR predictions exhibited a significant level of accuracy, as indicated by a high ratio of prediction to deviation (RPD) and Q. Furthermore, the PLS models developed using the NIR data had statistically significant predictive performance, with a high RPD (1.54-3.92) and Q (0.66-0.94). Thus, NIR spectroscopy is a valuable nondestructive technique for analyzing vitamin E samples, while MIR spectroscopy serves as a useful method for confirming its presence.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11675293 | PMC |
http://dx.doi.org/10.3390/foods13244079 | DOI Listing |
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