首页> 美国卫生研究院文献>other >Ultra-performance liquid chromatography-mass spectrometry for precise fatty acid profiling of oilseed crops
【2h】

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

机译:超高效液相色谱-质谱联用技术可对油料作物进行精确的脂肪酸分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译: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取决于其脂肪酸(FA)的组成。植物中FA的含量和组成通常使用气相色谱-质谱(GS-MS)或气相色谱-火焰电离检测(GC-FID)技术确定。在目前的工作中,我们将超高效液相色谱-质谱(UPLC-MS)技术应用于向日葵和油菜籽的FA分析,并将此方法与GC-FID技术进行了比较。 GC-FID检测到向日葵中的11种FA和油菜籽中的13种FA,而UPLC-MS似乎更敏感,在两株植物中检测到的FA数量大约高2.5倍。除了偶数链FA,UPLC-MS还能检测奇数链FA。使用GC-FID检测到的最长FA是具有24个碳原子的FA,而UPLC-MS可以揭示存在更长的具有最多28个碳原子的FA的FA。根据我们的结果,我们可以得出结论,UPLC-MS具有巨大的潜力可用于评估油料作物的FA概况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号