纳米喷雾解吸电喷雾质谱成像(nano-DESI MSI):教程综述

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Mushfeqa Iqfath, Syeda Nazifa Wali, Sara Amer, Emerson Hernly, Julia Laskin
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引用次数: 0

摘要

纳米喷雾解吸电喷雾离子化(nano-DESI)是一种基于液体的环境质谱成像(MSI)技术,可实现生物样品中分析物分布的可视化,空间分辨率可达细胞级。自问世以来,纳米 DESI 实验平台取得了重大进展,促进了分子成像的高通量、深度分子覆盖和优于 10 μm 的空间分辨率。通过采用新的数据采集策略、开发用于异构体分离和异构体选择性成像的分离和在线衍生方法,以及优化工作溶剂成分以提高分析物萃取和电离效率,纳米-DESI MSI 的分子选择性得到了增强。此外,纳米 DESI MSI 研究还强调了基质效应的重要性,并建立了精确测量复杂生物样本浓度梯度的归一化方法。本教程为纳米 DESI 实验提供了全面指导,详细介绍了基本原理、数据采集和处理方法,并讨论了基本操作参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging (nano-DESI MSI): A Tutorial Review

Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging (nano-DESI MSI): A Tutorial Review
Nanospray desorption electrospray ionization (nano-DESI) is a liquid-based ambient mass spectrometry imaging (MSI) technique that enables visualization of analyte distributions in biological samples down to cellular-level spatial resolution. Since its inception, significant advancements have been made to the nano-DESI experimental platform to facilitate molecular imaging with high throughput, deep molecular coverage, and spatial resolution better than 10 μm. The molecular selectivity of nano-DESI MSI has been enhanced using new data acquisition strategies, the development of separation and online derivatization approaches for isobar separation and isomer-selective imaging, and the optimization of the working solvent composition to improve analyte extraction and ionization efficiency. Furthermore, nano-DESI MSI research has underscored the importance of matrix effects and established normalization methods for accurately measuring concentration gradients in complex biological samples. This tutorial offers a comprehensive guide to nano-DESI experiments, detailing fundamental principles and data acquisition and processing methods and discussing essential operational parameters.
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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