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

Author:

Chernova Alina1,Mazin Pavel123,Goryunova Svetlana14,Goryunov Denis15,Demurin Yakov6,Gorlova Lyudmila6,Vanyushkina Anna1,Mair Waltraud1,Anikanov Nikolai1,Yushina Ekaterina17,Pavlova Anna1,Martynova Elena14,Garkusha Sergei8,Mukhina Zhanna8,Savenko Elena8,Khaitovich Philipp1

Affiliation:

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

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

3. Institute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Moscow, Russia

4. Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia

5. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia

6. Pustovoit All-Russia Research Institute of Oil Crops, Krasnodar, Russia

7. Pirogov Russian National Research Medical University, Moscow, Russia

8. All-Russia Rice Research Institute, Krasnodar, Russia

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.

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3