Enhanced ion transmission efficiency up to m/z 24 000 for MALDI Protein Imaging Mass Spectrometry

Boone M. Prentice, Daniel J. Ryan, Raf Van De Plas, Richard M. Caprioli, Jeffrey M. Spraggins

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

Abstract

The molecular identification of species of interest is an important part of an imaging mass spectrometry (IMS) experiment. The high resolution accurate mass capabilities of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) have recently been shown to facilitate the identification of proteins in matrix-assisted laser desorption/ionization (MALDI) IMS. However, these experiments are typically limited to proteins giving rise to ions of relatively low m/z due to difficulties transmitting and measuring large molecular weight ions of low charge states. Herein we have modified the source gas manifold of a commercial MALDI FT-ICR MS to regulate the gas flow and pressure to maximize the transmission of large m/z protein ions through the ion funnel region of the instrument. By minimizing the contribution of off-axis gas disruption to ion focusing and maximizing the effective potential wall confining the ions through pressure optimization, the signal-to-noise ratios (S/N) of most protein species were improved by roughly 1 order of magnitude compared to normal source conditions. These modifications enabled the detection of protein standards up to m/z 24 000 and the detection of proteins from tissue up to m/z 22 000 with good S/N, roughly doubling the mass range for which high quality protein ion images from rat brain and kidney tissue could be produced. Due to the long time-domain transients (>4 s) required to isotopically resolve high m/z proteins, we have used these data as part of an FT-ICR IMS-microscopy data-driven image fusion workflow to produce estimated protein images with both high mass and high spatial resolutions.

Original languageEnglish
Pages (from-to)5090-5099
JournalAnalytical Chemistry
Volume90
Issue number8
DOIs
Publication statusPublished - 2018

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