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A novel online two-dimensional supercritical fluid chromatography/reversed phase liquid chromatography–mass spectrometry method for lipid profiling

机译:一种用于脂质分析的新型二维超临界流体色谱/反相液相色谱-质谱联用方法

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titleAbstract/titlepA novel online two-dimensional supercritical fluid chromatography/reversed-phase liquid chromatography–triple-quadrupole mass spectrometry (2D SFC/RPLC–QQQ MS) method based on a vacuum solvent evaporation interface was developed for lipid profiling in human plasma, in which lipid classes were separated by the first-dimension SFC and different lipid molecular species were further separated by the second-dimension RPLC. All separation condition parameters were carefully optimized, and their influence on the chromatographic behavior of lipids is discussed. Finally, the recoveries of 11 lipid standards were all more than 88 for the interface. Besides, the limit of detection for these lipid standards was on the order of nanograms per milliliter, and the relative standard deviations of the peak area and retention time ranged from 1.54 to 19.85 and from 0.00 to 0.10, respectively. The final 2D SFC/RPLC–QQQ MS method allowed the identification of 370 endogenous lipid species from ten lipid classes, including diacylglycerol, triacylglycerol, ceramide, glucosylceramide, galactosylceramide, lactosylceramide, sphingomyelin, acylcarnitine, phosphatidylcholine, and lysophosphatidylethanolamine, in human plasma within 38 min, which was used for screening potential lipid biomarkers in breast cancer. The 2D SFC/RPLC–QQQ MS method is a potentially useful tool for in-depth studies focused on complex lipid metabolism and biomarker discovery./ppfigcaptionpGraphical Abstract/p/captiongraphic/graphic/fig/p
机译:摘要建立了一种基于真空溶剂蒸发界面的在线二维超临界流体色谱/反相液相色谱-三重四极杆质谱(2D SFC/RPLC–QQQ MS)方法,用于人血浆中的脂质分析,其中脂质类别通过一维SFC分离,不同脂质分子种类通过二维RPLC进一步分离。对所有分离条件参数进行了仔细优化,并讨论了它们对脂质色谱行为的影响。最后,11种脂质标准品的回收率均在88%以上。此外,这些脂质标准品的检出限约为纳克/毫升,峰面积和保留时间的相对标准偏差分别为1.54%至19.85%和0.00%至0.10%。最终的2D SFC/RPLC-QQQ MS方法允许在38 min内鉴定出人血浆中10类脂质的370种内源性脂质,包括二酰基甘油、三酰基甘油、神经酰胺、葡萄糖神经酰胺、半乳糖神经酰胺、乳糖基神经酰胺、鞘磷脂、酰基肉碱、磷脂酰胆碱和溶血磷脂酰乙醇胺,用于筛选乳腺癌中潜在的脂质生物标志物。2D SFC/RPLC-QQQ MS方法是一种潜在的有用工具,可用于深入研究复杂的脂质代谢和生物标志物发现。图形摘要

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