Literature DB >> 22033889

Fourier transform ion cyclotron resonance mass resolution and dynamic range limits calculated by computer modeling of ion cloud motion.

Gleb Vladimirov1, Christopher L Hendrickson, Greg T Blakney, Alan G Marshall, Ron M A Heeren, Eugene N Nikolaev.   

Abstract

Particle-in-Cell (PIC) ion trajectory calculations provide the most realistic simulation of Fourier transform ion cyclotron resonance (FT-ICR) experiments by efficient and accurate calculation of the forces acting on each ion in an ensemble (cloud), including Coulomb interactions (space charge), the electric field of the ICR trap electrodes, image charges on the trap electrodes, the magnetic field, and collisions with neutral gas molecules. It has been shown recently that ion cloud collective behavior is required to generate an FT-ICR signal and that two main phenomena influence mass resolution and dynamic range. The first is formation of an ellipsoidal ion cloud (termed "condensation") at a critical ion number (density), which facilitates signal generation in an FT-ICR cell of arbitrary geometry because the condensed cloud behaves as a quasi-ion. The second phenomenon is peak coalescence. Ion resonances that are closely spaced in m/z coalesce into one resonance if the ion number (density) exceeds a threshold that depends on magnetic field strength, ion cyclotron radius, ion masses and mass difference, and ion initial spatial distribution. These two phenomena decrease dynamic range by rapid cloud dephasing at small ion density and by cloud coalescence at high ion density. Here, we use PIC simulations to quantitate the dependence of coalescence on each critical parameter. Transitions between independent and coalesced motion were observed in a series of the experiments that systematically varied ion number, magnetic field strength, ion radius, ion m/z, ion m/z difference, and ion initial spatial distribution (the present simulations begin from elliptically-shaped ion clouds with constant ion density distribution). Our simulations show that mass resolution is constant at a given magnetic field strength with increasing ion number until a critical value (N) is reached. N dependence on magnetic field strength, cyclotron radius, ion mass, and difference between ion masses was determined for two ion ensembles of different m/z, equal abundance, and equal cyclotron radius. We find that N and dynamic range depend quadratically on magnetic field strength in the range 1-21 Tesla. Dependences on cyclotron radius and Δm/z are linear. N depends on m/z as (m/z)(-2). Empirical expressions for mass resolution as a function of each of the experimental parameters are presented. Here, we provide the first exposition of the origin and extent of trade-off between FT-ICR MS dynamic range and mass resolution (defined not as line width, but as the separation between the most closely resolved masses). © American Society for Mass Spectrometry, 2011

Year:  2011        PMID: 22033889     DOI: 10.1007/s13361-011-0268-8

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  7 in total

1.  Realistic modeling of ion cloud motion in a Fourier transform ion cyclotron resonance cell by use of a particle-in-cell approach.

Authors:  Eugene N Nikolaev; Ron M A Heeren; Alexander M Popov; Alexander V Pozdneev; Konstantin S Chingin
Journal:  Rapid Commun Mass Spectrom       Date:  2007       Impact factor: 2.419

2.  Simulated ion trajectory and induced signal in ion cyclotron resonance ion traps. Effect of ion initial axial position on ion coherence, induced signal, and radial or z ejection in a cubic trap.

Authors:  X Xiang; A G Marshall
Journal:  J Am Soc Mass Spectrom       Date:  1994-09       Impact factor: 3.109

3.  Theory of peak coalescence in Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Ivan A Boldin; Eugene N Nikolaev
Journal:  Rapid Commun Mass Spectrom       Date:  2009-10       Impact factor: 2.419

Review 4.  Fourier transform ion cyclotron resonance mass spectrometry: a primer.

Authors:  A G Marshall; C L Hendrickson; G S Jackson
Journal:  Mass Spectrom Rev       Date:  1998 Jan-Feb       Impact factor: 10.946

5.  Cyclotron motion of two Coulombically interacting ion clouds with implications to Fourier-transform ion cyclotron resonance mass spectrometry.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1995-10

6.  Space charge effects in Fourier transform mass spectrometry. Mass calibration.

Authors:  E B Ledford; D L Rempel; M L Gross
Journal:  Anal Chem       Date:  1984-12       Impact factor: 6.986

7.  Comparison of particle-in-cell simulations with experimentally observed frequency shifts between ions of the same mass-to-charge in Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Franklin E Leach; Andriy Kharchenko; Ron M A Heeren; Eugene Nikolaev; I Jonathan Amster
Journal:  J Am Soc Mass Spectrom       Date:  2009-10-06       Impact factor: 3.109

  7 in total
  9 in total

1.  Mass resolution and mass accuracy: how much is enough?

Authors:  Alan G Marshall; Greg T Blakney; Tong Chen; Nathan K Kaiser; Amy M McKenna; Ryan P Rodgers; Brian M Ruddy; Feng Xian
Journal:  Mass Spectrom (Tokyo)       Date:  2013-04-15

2.  From Supercomputer Modeling to Highest Mass Resolution in FT-ICR.

Authors:  Evgene N Nikolaev; Gleb N Vladimirov; Roland Jertz; Gökhan Baykut
Journal:  Mass Spectrom (Tokyo)       Date:  2013-04-15

3.  Elemental composition validation from stored waveform inverse Fourier transform (SWIFT) isolation FT-ICR MS isotopic fine structure.

Authors:  Brian M Ruddy; Gregory T Blakney; Ryan P Rodgers; Christopher L Hendrickson; Alan G Marshall
Journal:  J Am Soc Mass Spectrom       Date:  2013-08-06       Impact factor: 3.109

4.  Fluorescence imaging for visualization of the ion cloud in a quadrupole ion trap mass spectrometer.

Authors:  Francis O Talbot; Stephen V Sciuto; Rebecca A Jockusch
Journal:  J Am Soc Mass Spectrom       Date:  2013-10-02       Impact factor: 3.109

5.  Dynamically harmonized FT-ICR cell with specially shaped electrodes for compensation of inhomogeneity of the magnetic field. Computer simulations of the electric field and ion motion dynamics.

Authors:  Yury I Kostyukevich; Gleb N Vladimirov; Eugene N Nikolaev
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-20       Impact factor: 3.109

6.  Twelve million resolving power on 4.7 T Fourier transform ion cyclotron resonance instrument with dynamically harmonized cell--observation of fine structure in peptide mass spectra.

Authors:  Igor A Popov; Konstantin Nagornov; Gleb N Vladimirov; Yury I Kostyukevich; Eugene N Nikolaev
Journal:  J Am Soc Mass Spectrom       Date:  2014-03-07       Impact factor: 3.109

7.  Multiparticle Simulations of Quadrupolar Ion Detection in an Ion Cyclotron Resonance Cell with Four Narrow Aperture Detection Electrodes.

Authors:  Joshua A Driver; Konstantin O Nagornov; Anton N Kozhinov; Yury O Tsybin; Andriy Kharchenko; I Jonathan Amster
Journal:  J Am Soc Mass Spectrom       Date:  2017-10-16       Impact factor: 3.109

Review 8.  Evaluation of major historical ICR cell designs using electric field simulations.

Authors:  Evgeny Nikolaev; Anton Lioznov
Journal:  Mass Spectrom Rev       Date:  2020-11-25       Impact factor: 9.011

9.  Evaluation of Sibling and Twin Fragment Ions Improves the Structural Characterization of Proteins by Top-Down MALDI In-Source Decay Mass Spectrometry.

Authors:  Simone Nicolardi; David P A Kilgour; Natasja Dolezal; Jan W Drijfhout; Manfred Wuhrer; Yuri E M van der Burgt
Journal:  Anal Chem       Date:  2020-04-02       Impact factor: 6.986

  9 in total

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