Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

1H Nuclear Magnetic Resonance, Infrared, and Chemometrics in Lipid Analysis of Brazilian Edible Oil-Based Nutraceutical

Igor Savioli Flores
ORCID logo ,
Daniel Luiz Rodrigues Da Annunciação
,
Vinícius Silva Pinto
* ,
Luciano Morais Lião
* ORCID logo
Version 1 : Received: 9 February 2024 / Approved: 12 February 2024 / Online: 13 February 2024 (06:00:45 CET)

A peer-reviewed article of this Preprint also exists.

Flores, I.S.; Annunciação, D.L.R.; Pinto, V.S.; Lião, L.M. 1H Nuclear Magnetic Resonance, Infrared, and Chemometrics in Lipid Analysis of Brazilian Edible-Oil-Based Nutraceuticals. Lipidology 2024, 1, 18-29. Flores, I.S.; Annunciação, D.L.R.; Pinto, V.S.; Lião, L.M. 1H Nuclear Magnetic Resonance, Infrared, and Chemometrics in Lipid Analysis of Brazilian Edible-Oil-Based Nutraceuticals. Lipidology 2024, 1, 18-29.

Abstract

Edible oils have commercial and nutritional value due to the presence of essential fatty acids. They can be consumed fresh in the form of capsules known as nutraceuticals. The quality of such products is of interest to the consumer. In this context, this study describes a method based on high resolution nuclear magnetic resonance (NMR) and Fourier transform mid-infrared spectroscopic analysis (FTIR), combined with statistical analyzes to differentiate different edible oils used as nutraceuticals in Brazil by fatty acid content. Through the analysis of 1H NMR spectra, the levels of saturated and unsaturated fatty acids in edible oils were characterized and quantified. Statistical analysis of the data confirmed the real distinction between nutraceutical raw materials, with emphasis on ω-9, ω-6 and ω-3 fatty acids. The analytical approach presented also demonstrated potential to identify the origin (animal or vegetable) of edible oils used as nutraceuticals.

Keywords

lipid composition; 1H-NMR; chemometrics; edible oils quality control

Subject

Chemistry and Materials Science, Food Chemistry

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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