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Cited by 228

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Solvent-free matrix dry-coating for MALDI imaging of phospholipids

Open access
Puolitaival, Satu M., Burnum, Kristin E., Cornett, D. Shannon, Caprioli, Richard M.·2008·Journal of the American Society for Mass Spectrometry

Abstract

A fast and simple, solvent-free matrix deposition protocol was developed for positive ionization mode phospholipid analysis in tissues. Finely ground 2,5-dihydroxybenzoic acid was deposited onto sagittal mouse brain sections using a dry-coating technique, in which solid matrix particles were filtered directly onto the tissue through a 20-microm stainless steel sieve. Phospholipid signals were obtained directly off these sections, allowing acquisition of high-resolution MS images. These images were compared to those from serial sections that were spray-coated with a thin-layer chromatography (TLC) reagent sprayer. Signals obtained from the dry matrix deposition method were comparable to those from spray-coated sections, producing identical localization patterns with a simpler and faster sample preparation with virtually no analyte delocalization. This approach was found to yield highly reproducible results, eliminating much of the variance caused by operator differences, and making it an attractive alternative to the currently used matrix application methods.

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Metadata

Authors
Puolitaival, S. M., Burnum, K. E., Cornett, D. S., & Caprioli, R. M.
Venue
Journal of the American Society for Mass Spectrometry
Published
2008-06-01
Volume
19
Issue
6
Pages
882-886
ISSN
1044-0305 (ISSN-L)
OpenAlex
W1993933729
Cited by
228
References
2
FWCI
12.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Solvent-free matrix dry-coating for MALDI imaging of phospholipids. https://app.cochat.ai/papers/10.1016/j.jasms.2008.02.013
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Puolitaival, S. M., Burnum, K. E., Cornett, D. S., & Caprioli, R. M. (2008). Solvent-free matrix dry-coating for MALDI imaging of phospholipids. Journal of the American Society for Mass Spectrometry. https://doi.org/10.1016/j.jasms.2008.02.013

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.