Literature DB >> 27374579

Comparison of the regiospecific distribution from triacylglycerols after chemical and enzymatic interesterification of high oleic sunflower oil and fully hydrogenated high oleic sunflower oil blend by carbon-13 nuclear magnetic resonance.

Thiago I B Lopes1, Marilene D M M Ribeiro2, Chiu C Ming2, Renato Grimaldi2, Lireny A G Gonçalves2, Anita J Marsaioli3.   

Abstract

The nutritional and organoleptic attributes of oils can proceed via interesterification of oils blends catalyzed by enzymes or chemicals. Enzymatic interesterification processes are preferred due the regiospecific outcome. Traditionally, monitoring of distribution of fatty acids (FA) in glycerol backbone is performed by enzymatic and chromatographic methods that are time-consuming, involving a series of chemical manipulations employing large volumes of organic solvents. Alternatively, carbon-13 nuclear magnetic resonance ((13)C NMR) is a fast and reliable technique that could be applied to determine the saturated and unsaturated FA distribution of the triacylglycerols (TAGs) present in high oleic sunflower oil (SO) and fully hydrogenated high oleic sunflower oil (HSO) blends and their interesterification products. The enzymatic interesterification was conducted employing the immobilized lipase from Thermomyces lanuginosus (Lipozyme TL IM), the results show that the process was not completely regiospecific at sn-1,3 positions, due to the spontaneous acyl migration from position sn-2 to sn-1,3.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Keywords:  (13)C NMR; High oleic sunflower oil; Interesterification; Regiospecificity

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Year:  2016        PMID: 27374579     DOI: 10.1016/j.foodchem.2016.06.024

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Immobilization of zirconium-glycerolate nanowires on magnetic nanoparticles for extraction of urinary ribonucleosides.

Authors:  Jing Xu; Zheng Zhang; Xiao-Mei He; Ren-Qi Wang; Dilshad Hussain; Yu-Qi Feng
Journal:  Mikrochim Acta       Date:  2017-12-08       Impact factor: 5.833

  1 in total

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