Article: Spatially resolved detection of small molecules from press-dried plant tissue using MALDI imaging.
Applications in plant sciences
2023 Volume 11, Issue 5, Page(s) e11539
Abstract: Premise: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a chemical imaging method that can visualize spatial distributions of particular molecules. Plant tissue imaging has so far mostly used cryosectioning, which ... ...
| Abstract | Premise: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a chemical imaging method that can visualize spatial distributions of particular molecules. Plant tissue imaging has so far mostly used cryosectioning, which can be impractical for the preparation of large-area imaging samples, such as full flower petals. Imaging unsectioned plant tissue presents its own difficulties in extracting metabolites to the surface due to the waxy cuticle. Methods: We address this by using established delipidation techniques combined with a solvent vapor extraction prior to applying the matrix with many low-concentration sprays. Results: Using this procedure, we imaged tissue from three different plant species (two flowers and one carnivorous plant leaf). Material factorization analysis of the resulting data reveals a wide range of plant-specific small molecules with varying degrees of localization to specific portions of the tissue samples, while facilitating detection and removal of signal from background sources. Conclusions: This work demonstrates applicability of MALDI-MSI to press-dried plant samples without freezing or cryosectioning, setting the stage for spatially resolved molecule identification. Increased mass resolution and inclusion of tandem mass spectrometry are necessary next steps to allow more specific and reliable compound identification. |
|---|---|
| Language | English |
| Publishing date | 2023-09-11 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2699923-7 |
| ISSN | 2168-0450 |
| ISSN | 2168-0450 |
| DOI | 10.1002/aps3.11539 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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