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Updated: Jan 7, 2026

Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
Published on: July 12, 2013
Desorption Electrospray Ionization Mass Spectrometry Imaging: Principles, Advancements, and Multidisciplinary
Yan Wang1,2, Huannan Wang2, Shuncun Zhang2
1School of Pharmaceutical Sciences & Institute of Materia Medica, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) offers label-free molecular mapping of biological tissues. Advancements enhance its use in biomedicine, pharmaceuticals, and plant sciences, despite resolution challenges.
Area of Science:
- Analytical Chemistry
- Biomedical Imaging
- Mass Spectrometry
Background:
- Ambient ionization techniques like DESI-MSI enable molecular mapping without complex sample preparation.
- Since 2004, DESI-MSI has advanced in instrumentation and data processing for visualizing molecular distributions in tissues.
- It offers label-free, matrix-free analysis under atmospheric pressure.
Purpose of the Study:
- To systematically review the principles, instrumentation, and parameters of DESI-MSI.
- To evaluate recent technological advancements, including nanoscale DESI and enhanced solvent additives.
- To examine the multidisciplinary applications of DESI-MSI in various scientific fields.
Main Methods:
- Review of fundamental principles and instrumental configurations of DESI-MSI.
- Critical evaluation of technological advancements like nanoscale DESI and additive-enhanced solvents.
- Comprehensive examination of multidisciplinary applications in biomedicine, pharmaceuticals, and plant sciences.
Main Results:
- DESI-MSI provides high-throughput visualization of diverse molecules (lipids, metabolites, drugs) in tissues.
- Nanoscale DESI achieves sub-50 μm spatial resolution; additive-enhanced solvents improve sensitivity and specificity.
- Applications include cancer margin delineation, biomarker discovery, drug distribution analysis, and phytochemical mapping.
Conclusions:
- DESI-MSI is a transformative tool for spatial metabolomics with potential in clinical diagnostics and drug screening.
- Future directions include multimodal imaging, machine learning for data analysis, and clinical translation.
- Despite advantages, challenges in spatial resolution and data interpretation remain.
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