Comprehensive Two‐Dimensional Gas Chromatography–Mass Spectrometry Analysis of Different Types of Vegetable Oils

Vyviurska, Olga; Jánošková, Nikoleta; Jakubík, Tibor; S̆pánik, Ivan

doi:10.1007/s11746-015-2635-2

Cited by 5 publications

(1 citation statement)

References 36 publications

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“…Hempseed oil is a natural source of polyunsaturated fatty acids (PUFAs) and the main ones are the Linolenic acid (C18:2 ω-6) and α-linolenic acid (C18:3 ω-3) [11,12]. These two fatty acids are contained in hempseed oil respectively around 50-70% (linoleic acid) and 15-25% (α-linolenic acid), with a ratio of the two being 3:1, a value which is suggested as optimal for human nutrition [13].…”

Section: Introductionmentioning

confidence: 99%

Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization

et al. 2019

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Industrial Hemp, Cannabis sativa L., is characterized by low content of THC (<0.2%). An edible oil with excellent nutritional proprieties is obtained from cold pressing of hempseed. Since Hempseed oil is not reported in a Regulation yet, in order to ensure quality parameters, it is necessary to optimize standard methods (taken from the Regulation for EVOO). In this work, the standard method of quality parameters (free fatty acidity, peroxide number, and anisidine number) were miniaturized and optimized for Hempseed oil matrix. The miniaturized methods result in being sustainable, in environmental and economical perspectives, by using a smaller amount of chemicals (e.g., reagents, solvents), also reducing waste production and the sample needed in relation to the high cost of the Hempseed oil (60–70 €/L). The standard methods of miniaturization, carried out by using the Central Composite Design, allow for great saving of sample (5.35 g vs. 29 g) and reagents (up to 50%).

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Section: Introductionmentioning

confidence: 99%

Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization

et al. 2019

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Resolution-optimized headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) for non-targeted olive oil profiling

Gerhardt

Birkenmeier

Sanders³

et al. 2017

Anal Bioanal Chem

143

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A prototype gas chromatography-ion mobility spectrometry (GC-IMS) system, hyphenating temperature-ramped headspace GC to a modified drift time IMS cell, was evaluated and compared to a conventional, isothermal capillary column (CC)-IMS system on the example of the geographical differentiation of extra virgin olive oils (EVOO) from Spain and Italy. It allows orthogonal, 2D separation of complex samples and individual detection of compounds in robust and compact benchtop systems. The information from the high-resolution 3D fingerprints of volatile organic compound (VOC) fractions of EVOO samples were extracted by specifically developed chemometric MATLAB® routines to differentiate between the different olive oil provenances. A combination of unsupervised principal component analysis (PCA) with two supervised procedures, linear discriminant analysis (LDA) and k-nearest neighbors (kNN), was applied to the experimental data. The results showed very good discrimination between oils of different geographical origins, featuring 98 and 92% overall correct classification rate for PCA-LDA and kNN classifier, respectively. Furthermore, the results showed that the higher resolved 3D fingerprints obtained from the GC-IMS system provide superior resolving power for non-targeted profiling of VOC fractions from highly complex samples such as olive oil. Graphical abstract Principle of the determination of geographic origins of olive oils by chemometric analysis of three-dimensional HS-GC-IMS fingerprints.

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Profiling free fatty acids in edible oils via magnetic dispersive extraction and comprehensive two-dimensional gas chromatography-mass spectrometry

Zhu

Liu

et al. 2019

Food Chemistry

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Comprehensive Two‐Dimensional Gas Chromatography–Mass Spectrometry Analysis of Different Types of Vegetable Oils

Cited by 5 publications

References 36 publications

Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization

Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization

Resolution-optimized headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) for non-targeted olive oil profiling

Profiling free fatty acids in edible oils via magnetic dispersive extraction and comprehensive two-dimensional gas chromatography-mass spectrometry

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