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超高效液相色谱-质谱联用技术用于精确分析油料作物的脂肪酸谱。

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

作者信息

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

机构信息

Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.

Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia.

出版信息

PeerJ. 2019 Mar 6;7:e6547. doi: 10.7717/peerj.6547. eCollection 2019.

Abstract

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.

摘要

油料作物是食品和工业中最重要的植物油来源之一。植物油的营养和技术特性主要由其脂肪酸(FA)组成决定。植物中脂肪酸的含量和组成通常使用气相色谱 - 质谱联用(GS - MS)或气相色谱 - 火焰离子化检测(GC - FID)技术来测定。在本研究中,我们将超高效液相色谱 - 质谱联用(UPLC - MS)技术应用于向日葵和油菜籽种子的脂肪酸分析,并将该方法与GC - FID技术进行了比较。GC - FID在向日葵中检测到11种脂肪酸,在油菜籽中检测到13种脂肪酸,而UPLC - MS似乎更灵敏,在两种植物中检测到的脂肪酸数量约高出2.5倍。除了偶数链脂肪酸外,UPLC - MS还能够检测奇数链脂肪酸。使用GC - FID检测到的最长脂肪酸是一种含有24个碳原子的脂肪酸,而UPLC - MS能够揭示存在尾部长达28个碳原子的更长脂肪酸。基于我们的结果,我们可以得出结论,UPLC - MS在用于评估油料作物的脂肪酸谱方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7c4/6408914/da328b63ef29/peerj-07-6547-g001.jpg

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