Unverified paper record
Comparison of Mid-Infrared and Ultraviolet Lasers Coupled to the MALDESI Source for the Detection of Secondary Metabolites and Structural Lipids in Arabidopsis thaliana.
Journal of mass spectrometry : JMS · 1 Mar 2025 · 10.1002/jms.5118
Abstract
Matrix-assisted laser desorption electrospray ionization (MALDESI) conventionally utilizes a mid-infrared (IR) laser for the desorption of neutrals, allowing for detection of hundreds to thousands of analytes simultaneously. This platform enables mass spectrometry imaging (MSI) capabilities to not only detect specific molecules but also reveal the distribution and localization of a wide range of biomolecules across an organism. However, an IR laser comes with its disadvantages when imaging plants. At a mid-IR wavelength (2970 nm), the compartmentalized endogenous water within the leaf structure acts as an internal matrix, causing rapid heating, and, in turn, degrades the spatial resolution and signal quality. An ultraviolet (UV) laser operates at wavelengths that overlap with the absorption bands of secondary metabolites allowing them to serve as sacrificial matrix molecules. With the integration and optimization of a 355 nm UV laser into the MALDESI-MSI NextGen source for the analysis of plants, we were able to detect diverse molecular classes including flavonoids, fatty acid derivatives, galactolipids, and glucosinolates, at higher ion abundances when compared to the mid-IR laser. These results show that re-visiting UV-MALDESI-MSI, without the need for an exogenous matrix, provides a promising approach for the detection and imaging of important analytes in plants.
Plant phenotyping relevance
植物組織内の分子分布を可視化するMALDESI-MSIのレーザー構成を最適化・比較し、植物分析における空間分解能とシグナルを評価した方法開発研究である。
abstractWith the integration and optimization of a 355 nm UV laser into the MALDESI-MSI NextGen source for the analysis of plants
abstractThese results show that re-visiting UV-MALDESI-MSI, without the need for an exogenous matrix, provides a promising approach for the detection and imaging of important analytes in plants.
Code and data availability
The paper's MALDESI-MSI plant phenotyping data (raw .RAW/.imzML files, spectra, and analysis outputs) are not publicly deposited; the Data Availability Statement requires contacting the corresponding author. No public code, model, or dataset URLs are provided.
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