Literature DB >> 12661014

Initial implementation of external accumulation liquid chromatography/electrospray ionization Fourier transform ion cyclotron resonance with automated gain control.

Mikhail E Belov1, Vsevolod S Rakov, Eugene N Nikolaev, Michael B Goshe, Gordon A Anderson, Richard D Smith.   

Abstract

Capillary liquid chromatography (LC) separation coupled with external accumulation Fourier transform ion cyclotron resonance (FTICR) mass spectrometry has recently been demonstrated to have significant potential for proteomics research. Accumulation of an excessive space charge external to the FTICR cell ion trap has been shown to result in increased mass measurement error, undesirable ion discrimination and/or fragmentation, potentially causing misrepresentation or incorrect assignments of lower abundance peptides in the acquired mass spectra. In this work we report on the capability of data-dependent adjustment of ion accumulation times in the course of LC separations, further referred to as automated gain control (AGC). Three different AGC approaches were evaluated based on the number of putative peptides from a tryptic digest of four casein proteins detected in the course of LC/FTICR separations. When compared with the conventional technique, AGC was found to increase, up to a factor of 3, the total number of peptides identified. Copyright 2003 John Wiley & Sons, Ltd.

Mesh:

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Year:  2003        PMID: 12661014     DOI: 10.1002/rcm.955

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  11 in total

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7.  Sub-part-per-million precursor and product mass accuracy for high-throughput proteomics on an electron transfer dissociation-enabled orbitrap mass spectrometer.

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8.  Mass recalibration of FT-ICR mass spectrometry imaging data using the average frequency shift of ambient ions.

Authors:  Jeremy A Barry; Guillaume Robichaud; David C Muddiman
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9.  A novel Fourier transform ion cyclotron resonance mass spectrometer with improved ion trapping and detection capabilities.

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Review 10.  Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

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