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Updated: Dec 22, 2025

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI
Published on: December 16, 2022
Application of Mass Spectrometry Imaging for Visualizing Food Components
Yoshimura Yukihiro1, Nobuhiro Zaima2,3
1Department of Nutrition, Kobe Gakuin University, 518 Arise, Ikawadani-cho, Nishi-ku, Kobe City 651-2180, Japan.
Mass spectrometry imaging (MSI) visualizes food compounds spatially without extraction. This technology is advancing food science for better quality, safety, and nutritional analysis.
Area of Science:
- Food Science
- Analytical Chemistry
- Molecular Imaging
Background:
- Food consumption is vital for survival, health, and pleasure, driven by diverse food compounds.
- Conventional analytical methods struggle to map the spatial distribution of these compounds in food.
- Mass spectrometry imaging (MSI) offers a solution for visualizing molecular distribution in situ.
Purpose of the Study:
- To review recent applications of Mass Spectrometry Imaging (MSI) in food science.
- To highlight MSI's capability in analyzing spatial distribution of food components.
- To discuss the future potential of MSI in food analysis and quality assurance.
Main Methods:
- Utilizing Mass Spectrometry Imaging (MSI) as a 2D ionization technology.
- Employing various ionization techniques such as secondary ion mass spectrometry, MALDI, and DESI.
- Analyzing compounds directly in tissue sections without prior extraction, purification, separation, or labeling.
Main Results:
- MSI enables the detection and spatial mapping of specific analytes within food matrices.
- The application of MSI in food science has seen a significant increase over the last decade.
- MSI provides crucial spatial information on the location of compounds in food.
Conclusions:
- MSI is a powerful tool for visualizing the distribution of food components.
- Future applications of MSI will enhance food quality, safety, and nutritional analysis.
- MSI facilitates the identification of food-related factors by molecular weight for improved quality control.
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