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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Related Experiment Video

Updated: Jun 6, 2026

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
08:52

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry

Published on: November 28, 2025

Recent progress in nanomaterial-enhanced SALDI-MSI for spatial metabolomics.

Xingyue Liu1,2,3, Jinyang Wang2, Qinpei Wei2

  • 1Center for Biomedical Aging, National & Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha, 410081, P. R. China.

Analytical and Bioanalytical Chemistry
|June 5, 2026
PubMed
Summary
This summary is machine-generated.

Surface-assisted laser desorption/ionization mass spectrometry imaging (SALDI-MSI) with nanomaterials offers advanced spatial metabolomics for disease research. This review details nanomaterial strategies and applications, highlighting future directions for improved analysis.

Keywords:
Mass spectrometry imagingMetabolite analysisNanomaterialsSALDI-MSISpatial metabolomics

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Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI
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Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI

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Related Experiment Videos

Last Updated: Jun 6, 2026

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
08:52

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry

Published on: November 28, 2025

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI
08:02

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI

Published on: December 16, 2022

Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Materials Science

Background:

  • Spatial metabolomics maps metabolites in tissues, crucial for understanding diseases like cancer and neurodegeneration.
  • Mass spectrometry imaging (MSI) is key, with surface-assisted laser desorption/ionization mass spectrometry imaging (SALDI-MSI) emerging as a powerful technique.
  • SALDI-MSI utilizes nanomaterials, overcoming limitations of traditional methods like matrix interference and uneven crystallization for small-molecule analysis.

Purpose of the Study:

  • To systematically review the latest advancements in nanomaterial-enhanced SALDI-MSI for spatial metabolomics.
  • To provide insights into the design strategies and applications of various nanomaterials in SALDI-MSI.
  • To discuss challenges and future directions for improving SALDI-MSI techniques.

Main Methods:

  • Review of various MSI techniques used in spatial metabolomics, including principles, advantages, and disadvantages.
  • Explanation of fundamental SALDI mechanisms to guide nanomaterial design.
  • Discussion of common sample preparation methods for SALDI-MSI.

Main Results:

  • Focus on design strategies and applications of nanomaterials (metal/metal oxide nanoparticles, carbon-based, thin-film, nanostructured silicon) for SALDI-MSI.
  • Demonstration of SALDI-MSI's effectiveness in overcoming traditional method limitations.
  • Identification of key areas for future development in SALDI-MSI.

Conclusions:

  • Nanomaterial-enhanced SALDI-MSI is a highly promising technique for spatial metabolomics.
  • Rational design of high-performance SALDI substrates is essential for advancing the field.
  • Future work should address standardization, reproducibility, and quantification challenges.