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成像质谱中脂质异构体区分工具的分析评估

An Analytical Evaluation of Tools for Lipid Isomer Differentiation in Imaging Mass Spectrometry.

作者信息

Prentice Boone M

机构信息

Department of Chemistry, University of Florida, Gainesville, FL 32611.

出版信息

Int J Mass Spectrom. 2024 Aug;502. doi: 10.1016/j.ijms.2024.117268. Epub 2024 May 26.

Abstract

Imaging mass spectrometry has emerged as a powerful tool to map the spatial distributions of lipid and metabolites in biological tissues. However, these analyses are challenged by the multitude of isobaric (., same nominal mass) and isomeric compounds present in most samples. Failure to adequately separate these compounds results in inaccurate or incomplete chemical identifications and produces composite images of spatial distribution arising from multiple compounds. A number of techniques have been developed to more completely resolve and identify this complex chemical milieu. These include methods that rely on condensed-phase chemical derivatization and gas-phase ion chemistry, or some combination thereof. This Young Scientist Feature focuses on summarizing the analytical figures of merit of these tools, highlighting their relative speeds, limits of detection, molecular specificities, and eases-of-use. It will also include current challenges and future perspectives for resolving structural isomers in imaging mass spectrometry experiments.

摘要

成像质谱已成为绘制生物组织中脂质和代谢物空间分布的强大工具。然而,大多数样品中存在的大量同量异位(即相同标称质量)和同分异构化合物给这些分析带来了挑战。未能充分分离这些化合物会导致化学鉴定不准确或不完整,并产生由多种化合物引起的空间分布复合图像。已经开发了许多技术来更全面地解析和识别这种复杂的化学环境。这些技术包括依赖于凝聚相化学衍生化和气相离子化学的方法,或两者的某种组合。本期青年科学家专题重点总结了这些工具的分析性能指标,突出了它们的相对速度、检测限、分子特异性和易用性。它还将包括成像质谱实验中解析结构异构体的当前挑战和未来前景。

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