Evaluating the optimal tissue thickness for mass spectrometry imaging using infrared matrix‐assisted laser desorption electrospray ionization

Author:

Joignant Alena N.1,Knizner Kevan T.1,Xi Ying1,Muddiman David C.1

Affiliation:

1. FTMS Laboratory for Human Health Research, Department of Chemistry North Carolina State University Raleigh North Carolina USA

Abstract

RationaleInfrared matrix‐assisted laser desorption electrospray ionization (IR‐MALDESI) utilizes a 2970 nm mid‐IR laser to desorb samples with depth resolutions (Z) on the order of micrometers. Conventionally, 5–20 μm thick tissue sections are used to characterize different applications of the IR‐MALDESI source, but an optimal thickness has not been systematically investigated.MethodsMouse liver was sectioned to various thicknesses and analyzed using IR‐MALDESI mass spectrometry imaging (MSI). Height profiles of tissue sections of various cryosectioned thicknesses were acquired to affirm tissue thickness. Tissue sections of each thickness were measured using a Keyence microscope. Paraffin wax was cryosectioned, mounted on microscope slides, and measured using a chromatic confocal sensor system to determine the cryostat sectioning accuracy.ResultsAnalyzing sectioned tissues at higher thickness (>10 μm) leads to lower ion abundance, a decrease in signal over long analysis times, and more frequent instrument cleaning. Additionally, increasing tissue thickness above the optimum (7 μm) does not result in a significant increase in lipid annotations.ConclusionsThis work defines an optimal sample thickness for IR‐MALDESI‐MSI and demonstrates the utility of optimizing tissue thickness for MSI platforms of comparable Z resolution.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Organic Chemistry,Spectroscopy,Analytical Chemistry

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