Mass Spectrometry Based on Chemical Derivatization Has Brought Novel Discoveries to Lipidomics: A Comprehensive Review.

IF 4.2 2区 化学 Q1 CHEMISTRY, ANALYTICAL Critical reviews in analytical chemistry Pub Date : 2025-01-01 Epub Date: 2023-10-02 DOI:10.1080/10408347.2023.2261130
Dan Wang, Huaming Xiao, Xin Lv, Hong Chen, Fang Wei
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Abstract

Lipids, as one of the most important organic compounds in organisms, are important components of cells and participate in energy storage and signal transduction of living organisms. As a rapidly rising field, lipidomics research involves the identification and quantification of multiple classes of lipid molecules, as well as the structure, function, dynamics, and interactions of lipids in living organisms. Due to its inherent high selectivity and high sensitivity, mass spectrometry (MS) is the "gold standard" analysis technique for small molecules in biological samples. The combination chemical derivatization with MS detection is a unique strategy that could improve MS ionization efficiency, facilitate structure identification and quantitative analysis. Herein, this review discusses derivatization-based MS strategies for lipidomic analysis over the past decade and focuses on all the reported lipid categories, including fatty acids and modified fatty acids, glycerolipids, glycerophospholipids, sterols and saccharolipids. The functional groups of lipids mainly involved in chemical derivatization include the C=C group, carboxyl group, hydroxyl group, amino group, carbonyl group. Furthermore, representative applications of these derivatization-based lipid profiling methods were summarized. Finally, challenges and countermeasures of lipid derivatization are mentioned and highlighted to guide future studies of derivatization-based MS strategy in lipidomics.

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基于化学衍生的质谱法给脂质组学带来了新的发现:综述。
脂质是生物体内最重要的有机化合物之一,是细胞的重要组成部分,参与生物体的能量储存和信号转导。作为一个快速发展的领域,脂质组学研究涉及多类脂质分子的识别和定量,以及脂质在生物体中的结构、功能、动力学和相互作用。由于其固有的高选择性和高灵敏度,质谱法是生物样品中小分子的“金标准”分析技术。将化学衍生化与质谱检测相结合是一种独特的策略,可以提高质谱的电离效率,促进结构鉴定和定量分析。在此,这篇综述讨论了过去十年中用于脂质组学分析的基于衍生化的MS策略,并重点讨论了所有已报道的脂质类别,包括脂肪酸和修饰脂肪酸、甘油磷脂、甘油磷脂和甾醇。主要参与化学衍生的脂质官能团包括C=C基团、羧基、羟基、氨基、羰基。此外,总结了这些基于衍生化的脂质分析方法的代表性应用。最后,提出并强调了脂质衍生化的挑战和对策,以指导脂质组学中基于衍生化的MS策略的未来研究。
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来源期刊
CiteScore
12.00
自引率
4.00%
发文量
137
审稿时长
6 months
期刊介绍: Critical Reviews in Analytical Chemistry continues to be a dependable resource for both the expert and the student by providing in-depth, scholarly, insightful reviews of important topics within the discipline of analytical chemistry and related measurement sciences. The journal exclusively publishes review articles that illuminate the underlying science, that evaluate the field''s status by putting recent developments into proper perspective and context, and that speculate on possible future developments. A limited number of articles are of a "tutorial" format written by experts for scientists seeking introduction or clarification in a new area. This journal serves as a forum for linking various underlying components in broad and interdisciplinary means, while maintaining balance between applied and fundamental research. Topics we are interested in receiving reviews on are the following: · chemical analysis; · instrumentation; · chemometrics; · analytical biochemistry; · medicinal analysis; · forensics; · environmental sciences; · applied physics; · and material science.
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