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液相色谱和质谱联用技术用于磷脂生物分析的多维方法。

Multidimensional approaches in LC and MS for phospholipid bioanalysis.

作者信息

Guo Xinghua, Lankmayr Ernst

机构信息

Institute of Analytical Chemistry and Food Chemistry, Graz University of Technology, Graz, Austria.

出版信息

Bioanalysis. 2010 Jun;2(6):1109-23. doi: 10.4155/bio.10.52.

DOI:10.4155/bio.10.52
PMID:21083211
Abstract

The advancement of both LC and MS has contributed significantly to phospholipid analysis. Two major trends of developments have emerged in the past decade: application of dedicated online (or offline) LC-MS techniques including 2D and sophisticated chromatographic separations, and the development of so-called shotgun lipidomics represented by multidimensional MS-based techniques. However, neither of these techniques have been shown to be a universal solution for the increasing demand on the comprehensive information of lipid metabolomics in lipidomics studies. This is partially due to the intrinsic complexity of naturally occurring phospholipids in practice. It is evident that either chromatography or MS has to go multidimensional in order to fulfil this goal. This review focuses on recent developments of multidimensional MS, LC-MS and chromatographic approaches for lipidomics analysis. The perspectives and retrospectives of chromatography and MS in these aspects will be reviewed and discussed.

摘要

液相色谱(LC)和质谱(MS)的发展都对磷脂分析做出了重大贡献。在过去十年中出现了两个主要的发展趋势:应用专用的在线(或离线)LC-MS技术,包括二维和复杂的色谱分离,以及以基于多维MS的技术为代表的所谓鸟枪法脂质组学的发展。然而,这些技术都未被证明是满足脂质组学研究中对脂质代谢组学全面信息日益增长需求的通用解决方案。部分原因在于实际中天然存在的磷脂具有内在复杂性。显然,色谱法或质谱法都必须走向多维化才能实现这一目标。本综述重点关注脂质组学分析中多维MS、LC-MS和色谱方法的最新进展。将对色谱法和质谱法在这些方面的前景和回顾进行综述和讨论。

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