Literature DB >> 28107970

A new analytical method for quantification of olive and palm oil in blends with other vegetable edible oils based on the chromatographic fingerprints from the methyl-transesterified fraction.

Ana M Jiménez-Carvelo1, Antonio González-Casado2, Luis Cuadros-Rodríguez2.   

Abstract

A new analytical method for the quantification of olive oil and palm oil in blends with other vegetable edible oils (canola, safflower, corn, peanut, seeds, grapeseed, linseed, sesame and soybean) using normal phase liquid chromatography, and applying chemometric tools was developed. The procedure for obtaining of chromatographic fingerprint from the methyl-transesterified fraction from each blend is described. The multivariate quantification methods used were Partial Least Square-Regression (PLS-R) and Support Vector Regression (SVR). The quantification results were evaluated by several parameters as the Root Mean Square Error of Validation (RMSEV), Mean Absolute Error of Validation (MAEV) and Median Absolute Error of Validation (MdAEV). It has to be highlighted that the new proposed analytical method, the chromatographic analysis takes only eight minutes and the results obtained showed the potential of this method and allowed quantification of mixtures of olive oil and palm oil with other vegetable oils.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blends; Fingerprint; Liquid chromatography; Olive oil; Palm oil; Vegetable oil

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Year:  2016        PMID: 28107970     DOI: 10.1016/j.talanta.2016.12.024

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Typings of Edible Oils through Spectral Networking of Triacylglycerol Fingerprints.

Authors:  Ting-Hao Kuo; Min-Shan Kuei; Yi Hsiao; Hsin-Hsiang Chung; Cheng-Chih Hsu; Hong-Jhang Chen
Journal:  ACS Omega       Date:  2019-09-11
  1 in total

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