食品科学2018,Vol.39Issue(8):97-102,6.DOI:10.7506/spkx1002-6630-201808016
直接进样串联质谱法快速筛查水产副产物中ω-3脂肪酸链磷脂
Direct Injection Tandem Mass Spectrometry for Fast Screening of Phospholipids with ω-3 Fatty Acyl Chains in Aquatic Byproducts
摘要
Abstract
In this study, a bottom-up method was established for the fast screening of eicosapentaenoic acid (EPA), docosapentenoic acid (DPA), and docosahexaenoic acid (DHA) acyl chain containing phospholipids. The oil extract from aquatic byproducts was injected using a syringe pump, and monitored under precursor ion scan (PreIS) mode with -100 V declustering potential (DP) and -40 V collision energy (CE) in the range of 350-1 150 Da. The product ions of m/z 301, 329 and 327 were used as the representative ions for EPA, DPA and DHA chains, respectively. The peaks of EPA, DPA and DHA were identified and quantified. The results showed that the aquatic byproducts contained many different types of EPA, DPA and DHA containing phospholipids. A total of 50 phospholipids of interest were identified, whose sn-1 positions were C16:0, C18:1or C18:0chains, including phosphatidylserine 20:5/22:6 and phosphatidylinositol 22:6/22:6, which were extremely unsaturated. Aquatic byproducts rich in EPA, DPA and DHA containing phospholipids therefore show great potential in the development of functional foods. The method was validated and found to be stable and precise as indicated by the relative standard deviations (RSDs) lower than 7.3%. In conclusion, this method is advantageous in fast screening of ω-3 fatty acyl chain containing phospholipids. Theoretically, this method is applicable to other biological samples as well, and can provide strong support for searching for new resources of ω-3 fatty acyl chain containing phospholipids.关键词
直接进样/串联质谱/磷脂/副产物/多不饱和脂肪酸链Key words
direct injection/tandem mass spectrometry/phospholipids/aquatic byproducts/polyunsaturated fatty acyl chains分类
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崔益玮,俞喜娜,李诗言,戴志远,陈康,沈清..直接进样串联质谱法快速筛查水产副产物中ω-3脂肪酸链磷脂[J].食品科学,2018,39(8):97-102,6.基金项目
国家自然科学基金青年科学基金项目(31601542) (31601542)
浙江省基础公益研究项目(LGN18C200001) (LGN18C200001)
浙江省重点研发计划项目(2017C03041) (2017C03041)