Advanced tandem mass spectrometry in metabolomics and lipidomics-methods and applications.
Advanced tandem mass spectrometry in metabolomics and lipidomics-methods and applications.
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DOI：
10.1007/s00216-021-03425-1
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发表时间：
2021-10
影响因子：
4.3
通讯作者：
Heiles S
中科院分区：
文献类型：
--
作者：
Heiles S
代谢组学和脂质组学是组学时代的新驱动力，因为分子特征和选定的分析物分别允许表型表征和作为生物标志物。非靶向和靶向工作流程的能力不断增长，主要依赖于质谱平台，能够广泛绘制或鉴定生物活性代谢物和脂质。这些化合物的结构注释是将特定分子实体与定义的生化功能或表型联系起来的关键。串联质谱（MS），首先是碰撞诱导解离（CID），是揭示代谢物和脂质结构细节的首选方法。但是CID碎片离子通常不足以完全表征分析物。因此，近年来，替代串联MS方法激增，旨在提供代谢物和脂质的完整结构表征。在这篇文章中，这些“先进的串联质谱”策略的原则，能力，缺点和第一次应用将严格审查。这包括基于电子、光子和离子/分子以及离子/离子反应的串联MS方法，将串联MS与光谱学概念相结合，并利用衍生化策略。在这篇评论的最后一节，这些方法结合液相色谱或质谱成像的第一个应用程序的突出和代谢组学和脂质组学研究的未来前景进行了讨论。
Metabolomics and lipidomics are new drivers of the omics era as molecular signatures and selected analytes allow phenotypic characterization and serve as biomarkers, respectively. The growing capabilities of untargeted and targeted workflows, which primarily rely on mass spectrometric platforms, enable extensive charting or identification of bioactive metabolites and lipids. Structural annotation of these compounds is key in order to link specific molecular entities to defined biochemical functions or phenotypes. Tandem mass spectrometry (MS), first and foremost collision-induced dissociation (CID), is the method of choice to unveil structural details of metabolites and lipids. But CID fragment ions are often not sufficient to fully characterize analytes. Therefore, recent years have seen a surge in alternative tandem MS methodologies that aim to offer full structural characterization of metabolites and lipids. In this article, principles, capabilities, drawbacks, and first applications of these “advanced tandem mass spectrometry” strategies will be critically reviewed. This includes tandem MS methods that are based on electrons, photons, and ion/molecule, as well as ion/ion reactions, combining tandem MS with concepts from optical spectroscopy and making use of derivatization strategies. In the final sections of this review, the first applications of these methodologies in combination with liquid chromatography or mass spectrometry imaging are highlighted and future perspectives for research in metabolomics and lipidomics are discussed.
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影响因子：
7.4
作者：
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通讯作者：
McLuckey SA
影响因子：
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作者：
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通讯作者：
Baker, Paul R. S.
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作者：
Baba, Takashi;Campbell, J. Larry;Baker, Paul R. S.
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Baker, Paul R. S.
影响因子：
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7.4
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Bouza M;Li Y;Wang AC;Wang ZL;Fernández FM
通讯作者：
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