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使用多维液相和气相分离对人血浆进行综合脂质组学分析:二维液相色谱-质谱联用与液相色谱-捕集离子淌度-质谱联用

Comprehensive lipidomic analysis of human plasma using multidimensional liquid- and gas-phase separations: Two-dimensional liquid chromatography-mass spectrometry vs. liquid chromatography-trapped-ion-mobility-mass spectrometry.

作者信息

Baglai Anna, Gargano Andrea F G, Jordens Jan, Mengerink Ynze, Honing Maarten, van der Wal Sjoerd, Schoenmakers Peter J

机构信息

TI-COAST, Science Park 904, 1098 XH Amsterdam, The Netherlands; University of Amsterdam, Van't Hoff Institute for Molecular Sciences, Science Park 904, 1098 XH Amsterdam, The Netherlands.

TI-COAST, Science Park 904, 1098 XH Amsterdam, The Netherlands; University of Amsterdam, Van't Hoff Institute for Molecular Sciences, Science Park 904, 1098 XH Amsterdam, The Netherlands.

出版信息

J Chromatogr A. 2017 Dec 29;1530:90-103. doi: 10.1016/j.chroma.2017.11.014. Epub 2017 Nov 10.

Abstract

Recent advancements in separation science have resulted in the commercialization of multidimensional separation systems that provide higher peak capacities and, hence, enable a more-detailed characterization of complex mixtures. In particular, two powerful analytical tools are increasingly used by analytical scientists, namely online comprehensive two-dimensional liquid chromatography (LC×LC, having a second-dimension separation in the liquid phase) and liquid chromatography-ion mobility-spectrometry (LC-IMS, second dimension separation in the gas phase). The goal of the current study was a general assessment of the liquid-chromatography-trapped-ion-mobility-mass spectrometry (LC-TIMS-MS) and comprehensive two-dimensional liquid chromatography-mass spectrometry (LC×LC-MS) platforms for untargeted lipid mapping in human plasma. For the first time trapped-ion-mobility spectrometry (TIMS) was employed for the separation of the major lipid classes and ion-mobility-derived collision-cross-section values were determined for a number of lipid standards. The general effects of a number of influencing parameters have been inspected and possible directions for improvements are discussed. We aimed to provide a general indication and practical guidelines for the analyst to choose an efficient multidimensional separation platform according to the particular requirements of the application. Analysis time, orthogonality, peak capacity, and an indicative measure for the resolving power are discussed as main characteristics for multidimensional separation systems.

摘要

分离科学的最新进展已促使多维分离系统商业化,该系统具有更高的峰容量,因此能够更详细地表征复杂混合物。特别是,分析科学家越来越多地使用两种强大的分析工具,即在线全二维液相色谱法(LC×LC,在液相中进行第二维分离)和液相色谱-离子淌度-质谱联用技术(LC-IMS,在气相中进行第二维分离)。本研究的目的是对液相色谱-阱式离子淌度-质谱联用技术(LC-TIMS-MS)和全二维液相色谱-质谱联用技术(LC×LC-MS)平台进行全面评估,以用于人类血浆中脂质的非靶向分析。首次采用阱式离子淌度谱(TIMS)分离主要脂质类别,并测定了多种脂质标准品的离子淌度衍生碰撞截面值。考察了多个影响参数的总体效应,并讨论了可能的改进方向。我们旨在为分析人员根据应用的特定要求选择高效的多维分离平台提供总体指导和实用指南。分析时间、正交性、峰容量以及分辨率的指示性指标作为多维分离系统的主要特性进行了讨论。

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