解吸电喷雾电离质谱和质谱成像在代谢组学、脂质组学和蛋白质组学分析中的应用。

The application of desorption electrospray ionization mass spectrometry and mass spectrometry imaging in metabolomics, lipidomics and proteomics analysis.

作者信息

Liu Haofan, Huang Sicheng, Yang Lina, He Yaqian, Jing Yongshuai, Xie Yinghua, Hu Beibei, Li Zhongqiu, Bi Haichao, Li Zhiwei

机构信息

College of Chemical and Pharmaceutical Engineering, Hebei University of Science and Technology, Shijiazhuang, China; State Key Laboratory Breeding Base-Hebei Key Laboratory of Molecular Chemistry for Drug, Shijiazhuang, China; Hebei Research Center of Pharmaceutical and Chemical Engineering, Shijiazhuang, China.

College of Chemical and Pharmaceutical Engineering, Hebei University of Science and Technology, Shijiazhuang, China.

出版信息

Talanta. 2025 Jul 21;297(Pt A):128611. doi: 10.1016/j.talanta.2025.128611.

DOI:10.1016/j.talanta.2025.128611

PMID:40716299

Abstract

At present, mass spectrometry (MS) and mass spectrometry imaging (MSI) have developed into versatile analytical techniques, applicable for the analysis of both small molecules and macromolecular compounds and complexes. Desorption electrospray ionization (DESI), as an ambient MS (AMS) technique, enables rapid analysis and imaging under open conditions with minimal or no sample preparation required. In this review, the principles and mechanisms of DESI were described, especially for the factors affecting the analysis including suppression effects, device condition parameter settings, and ionization and transmission efficiency. Moreover, the relevant improvements of DESI technique were introduced in detail. Emphasis has been made to discuss the recent research on the application of DESI MS and MSI in the fields of metabolomics, lipidomics, and proteomics. In these applications, DESI MS and MSI exhibit exceptional capabilities for qualitative analysis.

摘要

目前，质谱（MS）和质谱成像（MSI）已发展成为通用的分析技术，适用于小分子以及大分子化合物和复合物的分析。解吸电喷雾电离（DESI）作为一种常压质谱（AMS）技术，能够在开放条件下进行快速分析和成像，所需样品制备极少或无需样品制备。在本综述中，描述了DESI的原理和机制，特别是影响分析的因素，包括抑制效应、设备条件参数设置以及电离和传输效率。此外，还详细介绍了DESI技术的相关改进。重点讨论了DESI MS和MSI在代谢组学、脂质组学和蛋白质组学领域应用的最新研究。在这些应用中，DESI MS和MSI展现出卓越的定性分析能力。