Abstract The review concentrates on the properties of analytical and statistical ultrahigh-performance liquid chromatographic (UHPLC) – mass spectrometric (MS) methods suitable for glycero-, glycerophospho- and sphingolipids in lipidomics published between the years 2017–2019. Trends and fluctuations of conventional and nano-UHPLC methods with MS and tandem MS detection were observed in context of analysis conditions and tools used for data-analysis. Whereas general workflow characteristics are agreed upon, more details related to the chromatographic methodology (i.e. stationary and mobile phase conditions) need evidently agreements. Lipid quantitation relies upon isotope-labelled standards in targeted analyses and fully standardless algorithm-based untargeted analyses. Furthermore, a wide spectrum of setups have shown potential for the elucidation of complex and large datasets by minimizing the risks of systematic misinterpretation like false positives. This kind of evaluation was shown to have increased importance and usage for cross-validation and data-analysis.

中文翻译：

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用于甘油、甘油磷酸和鞘脂的超高效液相色谱-质谱分析工具和当前统计方法的进展

摘要 该综述集中于 2017-2019 年间发表的适用于脂质组学中甘油、甘油磷酸和鞘脂的分析和统计超高效液相色谱 (UHPLC) - 质谱 (MS) 方法的特性。在分析条件和用于数据分析的工具的背景下，观察了使用 MS 和串联 MS 检测的传统和纳米 UHPLC 方法的趋势和波动。虽然一般工作流程特征已达成一致，但与色谱方法（即固定相和流动相条件）相关的更多细节显然需要达成一致。脂质定量依赖于靶向分析中的同位素标记标准和基于完全无标准算法的非靶向分析。此外，广泛的设置已经显示出通过最小化系统误解（如误报）的风险来阐明复杂和大型数据集的潜力。事实证明，这种评估对于交叉验证和数据分析的重要性和使用率都有所提高。