Literature DB >> 25148956

Classification of vegetable oils according to their botanical origin using n-alkane profiles established by GC-MS.

F Troya1, M J Lerma-García1, J M Herrero-Martínez1, E F Simó-Alfonso2.   

Abstract

n-Alkane profiles established by gas chromatography-mass spectrometry (GC-MS) were used to classify vegetable oils according to their botanical origin. The n-alkanes present in corn, grapeseed, hazelnut, olive, peanut and sunflower oils were isolated by means of alkaline hydrolysis followed by silica gel column chromatography of the unsaponifiable fractions. The n-alkane fraction was constituted mainly of n-alkanes in the range C8-C35, although only those most abundant (15 n-alkanes, from 21 to 35 carbon No.) were used as original variables to construct linear discriminant analysis (LDA) models. Ratios of the peak areas selected by pairs were used as predictors. All the oils were correctly classified according to their botanical origin, with assignment probabilities higher than 95%, using an LDA model.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Botanical origin; Gas chromatography – mass spectrometry; Linear discriminant analysis; Vegetable oils; n-Alkanes

Mesh:

Substances:

Year:  2014        PMID: 25148956     DOI: 10.1016/j.foodchem.2014.06.116

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


  5 in total

1.  NMR-based and chemometric approaches applicable to adulteration studies for assessment of the botanical origin of edible oils.

Authors:  Luciana Marçal Ravaglia; Ana Beatriz Coriguazi Pizzotti; Glaucia Braz Alcantara
Journal:  J Food Sci Technol       Date:  2018-12-04       Impact factor: 2.701

2.  n-Alkanes and n-Alkenes in Virgin Olive Oil from Calabria (South Italy): The Effects of Cultivar and Harvest Date.

Authors:  Angelo Maria Giuffrè
Journal:  Foods       Date:  2021-02-01

3.  Quantitative Detection of Extra Virgin Olive Oil Adulteration, as Opposed to Peanut and Soybean Oil, Employing LED-Induced Fluorescence Spectroscopy.

Authors:  Ting Zhang; Yuyang Liu; Zhuoping Dai; Lihan Cui; Hongze Lin; Zejian Li; Kaihua Wu; Guangyu Liu
Journal:  Sensors (Basel)       Date:  2022-02-06       Impact factor: 3.576

4.  Gradual Optimization of Headspace Solid-Phase Microextraction Conditions of Volatiles in Pepper Chicken Soup Combined with Gas Chromatography-Mass Spectrometry and Principal Component Analysis.

Authors:  Qiuyue Geng; Ping Zhan; Honglei Tian; Peng Wang; Haitao Chen
Journal:  Int J Anal Chem       Date:  2019-04-01       Impact factor: 1.885

5.  Authentication and Provenance of Walnut Combining Fourier Transform Mid-Infrared Spectroscopy with Machine Learning Algorithms.

Authors:  Hongyan Zhu; Jun-Li Xu
Journal:  Molecules       Date:  2020-10-28       Impact factor: 4.411

  5 in total

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