ArticleACS measurement science au2024
MALDI Mass Spectrometry on High-Density Droplet Arrays: Matrix Deposition, Selective Removal, and Recrystallization.
Article in ACS measurement science au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- High-Density E. Coli Cultivation Arrays for Combinatorial Drug Testing With Subsequent Lipid Profiling by MALDI-MS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Liquid-in-Liquid Prints: High-Density Biochemically Encoded Information Preserved in Microdroplet Arrays.Advanced materials (Deerfield Beach, Fla.) · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-density droplet arrays are emerging as a powerful tool for high-throughput bioanalytical applications. These arrays are formed of thousands of nanoliter droplets, which can be analyzed by various optical and spectroscopic methods as well as label-free matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). However, special precautions are required for the massive number of small droplets, particularly in the deposition of matrix compounds. Here, we introduce a new workflow for the analytical preparation of an array comprising 6048 droplets, which significantly improves the intensity of the MALDI-MS signals. We deposited matrix compounds in a custom-made sublimation chamber followed by a recrystallization step to achieve significant signal intensity increases for three model proteins with low, medium, and large masses, respectively. Furthermore, selective removal of the matrix before recrystallization enhanced the spatial resolution and increased the signal intensity by an average of 57%. This method can be easily standardized and upscaled for the preparation of an even larger number of droplets per array for MS analysis.
Identifiers
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Registered trials
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