Ultra-performance liquid chromatography-mass spectrometry for precise fatty acid profiling of oilseed crops

Oilseed crops are one of the most important sources of vegetable oils for food and industry. Nutritional and technical properties of vegetable oil are primarily determined by its fatty acid (FA) composition. The content and composition of FAs in plants are commonly determined using gas chromatograph...

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Published in:PeerJ (San Francisco, CA) CA), 2019-03, Vol.7, p.e6547-e6547, Article e6547
Main Authors: Chernova, Alina, Mazin, Pavel, Goryunova, Svetlana, Goryunov, Denis, Demurin, Yakov, Gorlova, Lyudmila, Vanyushkina, Anna, Mair, Waltraud, Anikanov, Nikolai, Yushina, Ekaterina, Pavlova, Anna, Martynova, Elena, Garkusha, Sergei, Mukhina, Zhanna, Savenko, Elena, Khaitovich, Philipp
Format: Article
Language:English
Subjects:
Agricultural industry
Agricultural Science
Breeding
Chemistry
Chromatography
Criminal investigation
Crops
Edible oils
Fats, oils and waxes industry
Fatty acids
Food
Food industry
Gas chromatography
Gas chromatography-flame ionization detection
Ionization
Lipids
Liquid chromatography
Mass spectrometry
Mass spectroscopy
Oil crops
Oils & fats
Oilseeds
Plant Science
Rape plants
Rapeseed
Research centers
Science
Scientific imaging
Seeds
Spectroscopy
Ultra-performance liquid chromatography-mass spectrometry
Vegetable oils
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Summary:Oilseed crops are one of the most important sources of vegetable oils for food and industry. Nutritional and technical properties of vegetable oil are primarily determined by its fatty acid (FA) composition. The content and composition of FAs in plants are commonly determined using gas chromatography-mass spectrometry (GS-MS) or gas chromatography-flame ionization detection (GC-FID) techniques. In the present work, we applied ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) technique to FA profiling of sunflower and rapeseed seeds and compared this method with the GC-FID technique. GC-FID detected 11 FAs in sunflower and 13 FAs in rapeseed, while UPLC-MS appeared to be more sensitive, detecting about 2.5 times higher numbers of FAs in both plants. In addition to even-chain FAs, UPLC-MS was able to detect odd-chain FAs. The longest FA detected using GC-FID was an FA with 24 carbon atoms, whereas UPLC-MS could reveal the presence of longer FAs with the tails of up to 28 carbon atoms. Based on our results, we may conclude that UPLC-MS has great potential to be used for the assessment of FA profiles of oil crops.
ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.6547