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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
Published on: March 24, 2016
Overlapping MALDI-Mass Spectrometry Imaging for In-Parallel MS and MS/MS Data Acquisition without Sacrificing Spatial
Rebecca L Hansen1, Young Jin Lee2
1Department of Chemistry, Iowa State University, Ames, IA, 50011, USA.
This study presents a new multiplex mass spectrometry imaging method that acquires both MS and MS/MS data without losing spatial resolution. This technique enables detailed chemical analysis of tissue samples, like maize leaves, efficiently.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Imaging Science
Background:
- Metabolomics and mass spectrometry imaging (MSI) require chemical identification via MS/MS analysis.
- Current MSI methods often involve serial tissue sections or multiplex acquisition, which can reduce spatial resolution.
- Previous multiplex MSI methods limited high-spatial resolution due to increased spiral steps.
Purpose of the Study:
- To develop a multiplex MSI method that maintains high spatial resolution.
- To enable simultaneous acquisition of MS and MS/MS data in a single experiment.
- To enhance chemical information retrieval in less time for MSI.
Main Methods:
- Implemented overlapping spiral steps instead of spatially separated ones in multiplex MSI.
- Utilized nanoparticle matrices to ensure sufficient analyte and matrix remain for multiple spectral acquisitions.
- Applied the method to maize leaf cross-sections for metabolite visualization and MS/MS spectral acquisition.
Main Results:
- Demonstrated multiplex MS imaging is achievable without sacrificing spatial resolution.
- Acquired high-quality MS and MS/MS data from the same tissue spot.
- Successfully visualized metabolites and their MS/MS spectra in maize leaf sections at 10 μm resolution.
Conclusions:
- The novel multiplex MSI approach overcomes spatial resolution limitations of previous methods.
- This technique allows for comprehensive chemical analysis of biological tissues with high spatial fidelity.
- The method is efficient, providing rich chemical information and MS/MS data in a single acquisition.
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