Recent advances in lipid separations and structural elucidation using mass spectrometry combined with ion mobility spectrometry, ion-molecule reactions and fragmentation approaches.

Recent advances in lipid separations and structural elucidation using mass spectrometry combined with ion mobility spectrometry, ion-molecule reactions and fragmentation approaches.
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DOI:
10.1016/j.cbpa.2017.11.009
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发表时间:
2018-03
影响因子:
7.8
通讯作者:
Baker ES
Baker ES
中科院分区:
生物学2区
文献类型:
--
作者:
Zheng X;Smith RD;Baker ES

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脂质是一类重要的分子,在生物过程中发挥着重要而多样的作用。然而,充分了解脂质的作用是非常困难的,因为脂质种类的数量和多样性是巨大的,细胞表达数百种酶,合成数万种不同的脂质。虽然色谱法和高分辨率质谱法的最新进展极大地促进了对脂质种类和功能的理解,但有效分离许多脂质仍然存在问题。异构脂质使得脂质表征特别困难,并且由于具有相同化学组成的亚类或具有多个酰基链连接性(sn-1、sn-2或sn-3)、双键位置和取向(顺式或反式)以及官能团立体化学(R对S)的物质而发生。因此,要充分了解脂类在生物过程中的作用,就需要分离和评估生物和环境样品中异构体的变化。为了应对这一挑战,离子迁移谱分离、离子分子反应和碎片化技术越来越多地被添加到脂质分析工作流程中,以改善鉴定。在这篇手稿中,我们回顾了这些方法的现状及其提高识别特定脂质种类的能力。
Lipids are a vital class of molecules that play important and varied roles in biological processes. Fully understanding lipid roles, however, is extremely difficult since the number and diversity of lipid species is immense, with cells expressing hundreds of enzymes that synthesize tens of thousands of different lipids. While recent advances in chromatography and high resolution mass spectrometry have greatly progressed the understanding of lipid species and functions, effectively separating many lipids still remains problematic. Isomeric lipids have made lipid characterization especially difficult and occur due to subclasses having the same chemical composition, or species having multiple acyl chains connectivities (sn-1, sn-2, or sn-3), double bond positions and orientations (cis or trans), and functional group stereochemistry (R versus S). Fully understanding the roles of lipids in biological processes therefore requires separating and evaluating how isomers change in biological and environmental samples. To address this challenge, ion mobility spectrometry separations, ion-molecule reactions and fragmentation techniques have increasingly been added to lipid analysis workflows to improve identifications. In this manuscript, we review the current state of these approaches and their capabilities for improving the identification of specific lipid species.
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