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Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
Published on: July 12, 2013
A Multimodal Desorption Electrospray Ionisation Workflow Enabling Visualisation of Lipids and Biologically Relevant
Catia Costa1, Janella De Jesus2,3, Chelsea Nikula3
1University of Surrey Ion Beam Centre, Guildford GU2 7XH, UK.
This study introduces a new solvent system for desorption electrospray ionization (DESI) imaging. This method allows for simultaneous molecular and elemental analysis of tissue sections, improving disease research.
Area of Science:
- Biomedical Imaging
- Analytical Chemistry
- Pathology
Background:
- Elemental species colocation with biomolecules offers insights into metabolic dysregulation and disease pathogenesis.
- Alkali metals are linked to neurodegenerative and infectious diseases, impacting lipid metabolism.
- Conventional desorption electrospray ionization (DESI) using methanol:water delocalizes ions, hindering subsequent elemental analysis.
Purpose of the Study:
- To develop a novel solvent system for DESI that preserves elemental species localization.
- To enable multimodal imaging combining molecular and elemental analysis on the same tissue section.
- To improve signal-to-noise ratios for lipid detection in molecular imaging.
Main Methods:
- A new solvent system (50:50 methanol:ethanol) was developed for DESI electrospray.
- The new solvent was benchmarked against the traditional methanol:water system.
- The developed multimodal imaging workflow was applied to a lung tissue section with tuberculosis.
Main Results:
- The methanol:ethanol solvent system prevented delocalization of elemental species.
- Elemental mapping could be performed on the same tissue section after DESI.
- The methanol:ethanol solvent yielded improved signal-to-noise ratios for specific lipids compared to methanol:water.
- The workflow demonstrated applicability to elementally rich samples, such as tuberculosis granulomas.
Conclusions:
- A novel DESI solvent system enables correlative molecular and elemental imaging of tissues.
- This approach overcomes limitations of previous DESI methods regarding elemental analysis.
- The developed multimodal imaging workflow enhances the study of metabolic pathways in diseases.
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