Structure Elucidation for MALDI Mass Spectrometry Imaging Using Infrared Ion Spectroscopy

Infrared ion spectroscopy (IRIS) is a tandem mass spectrometry (MS) technique that generates structurally diagnostic vibrational spectra for mass-selected ions trapped in a mass spectrometer. Until now, IRIS applications for biological samples have primarily focused on solution-based analyses, such as body fluids (e.g., plasma and urine) and tissue homogenates, using electrospray ionization (ESI) coupled with liquid chromatography-mass spectrometry (LC-MS). In this study, we have combined matrix-assisted laser desorption/ionization (MALDI) with IRIS for the direct analysis of small molecules from biological tissues on a Fourier-transform ion cyclotron resonance mass spectrometer. We applied this technique alongside MALDI mass spectrometry imaging to analyse brain tissue from two knockout mouse models of l-lysine catabolism disorders: pyridoxine-dependent epilepsy (<i>ALDH7A1</i>) and glutaric aciduria type 1 (<i>GCDH</i>). The MALDI-IRIS platform, now available for users at HFML-FELIX, represents a significant advance in the direct structural characterization of metabolites in complex biological tissues and opens new possibilities for structure elucidation in the field of MALDI mass spectrometry imaging.

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Publication Details

Journal
Analytical Chemistry
Published
2025-06-16
DOI
https://doi.org/10.1021/acs.analchem.5c00948
Citations
2
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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Structure Elucidation for MALDI Mass Spectrometry Imaging Using Infrared Ion Spectroscopy

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Analytical Chemistry
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article

Structure Elucidation for MALDI Mass Spectrometry Imaging Using Infrared Ion Spectroscopy

Martin Hrabě de Angelis, Helmut Fuchs, Valerie Gailus-Durner, Clara van Karnebeek, Kas J. Houthuijs, Giel Berden, Andrej Grgic, Jonathan Martens, Ron A. Wevers, Stefanie Leuchtenberger, Udo F. H. Engelke, Michiel Vandenbosch, Ron M. A. Heeren, Pieter C. Kooijman, Jos Oomens, Rob J. Vreeken, Lara van Tetering, Dirk J. Lefeber, Jelle L. Schuurman, Benjamin Balluf
article en
2 citations

Abstract

Infrared ion spectroscopy (IRIS) is a tandem mass spectrometry (MS) technique that generates structurally diagnostic vibrational spectra for mass-selected ions trapped in a mass spectrometer. Until now, IRIS applications for biological samples have primarily focused on solution-based analyses, such as body fluids (e.g., plasma and urine) and tissue homogenates, using electrospray ionization (ESI) coupled with liquid chromatography-mass spectrometry (LC-MS). In this study, we have combined matrix-assisted laser desorption/ionization (MALDI) with IRIS for the direct analysis of small molecules from biological tissues on a Fourier-transform ion cyclotron resonance mass spectrometer. We applied this technique alongside MALDI mass spectrometry imaging to analyse brain tissue from two knockout mouse models of l-lysine catabolism disorders: pyridoxine-dependent epilepsy (<i>ALDH7A1</i>) and glutaric aciduria type 1 (<i>GCDH</i>). The MALDI-IRIS platform, now available for users at HFML-FELIX, represents a significant advance in the direct structural characterization of metabolites in complex biological tissues and opens new possibilities for structure elucidation in the field of MALDI mass spectrometry imaging.

Analytical ChemistryVol. 97(25)
Radboud University Nijmegen (NL), Center for Environmental Health (US), University Medical Center (US), Radboud University Medical Center (NL), Helmholtz Zentrum München (DE), Maastricht University (NL), Laboratory of Molecular Genetics (PL), Emma Kinderziekenhuis (NL), Institute for Molecular Science (JP), Amsterdam University Medical Centers (NL), German Center for Diabetes Research (DE), Technical University of Munich (DE), University of Amsterdam (NL)
Universiteit van Amsterdam, Radboud Universiteit, Universiteit Maastricht, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Radboud Universitair Medisch Centrum
Openalex Percentile: Top 18%
Mass Spectrometry Techniques and Applications
1.51
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