Abstract
Achieving and maintaining high mass measurement accuracy (MMA) throughout a mass spectrometry imaging (MSI) experiment is vital to the identification of the observed ions. However, when using FTMS instruments, fluctuations in the total ion abundance at each pixel due to inherent biological variation in the tissue section can introduce space charge effects that systematically shift the observed mass. Herein we apply a recalibration based on the observed cyclotron frequency shift of ions found in the ambient laboratory environment, polydimethylcyclosiloxanes (PDMS). This calibration method is capable of achieving part per billion (ppb) mass accuracy with relatively high precision for an infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) MSI dataset. Comparisons with previously published mass calibration approaches are also presented.
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Acknowledgments
The authors thank Reid Groseclose, David Wagner, and Stephen Castellino at GlaxoSmithKline for the Tykerb dosed liver tissue sections as well as Troy Ghashghei from NCSU College of Veterinary Medicine for the mouse brain tissue. The authors gratefully acknowledge the financial support received from the National Institutes of Health (R01GM087964), GlaxoSmithKline, the W. M. Keck Foundation, and North Carolina State University.
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Barry, J.A., Robichaud, G. & Muddiman, D.C. Mass Recalibration of FT-ICR Mass Spectrometry Imaging Data Using the Average Frequency Shift of Ambient Ions. J. Am. Soc. Mass Spectrom. 24, 1137–1145 (2013). https://doi.org/10.1007/s13361-013-0659-0
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DOI: https://doi.org/10.1007/s13361-013-0659-0