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Dive into the research topics where Gleb Vladimirov is active.

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Featured researches published by Gleb Vladimirov.


Mass Spectrometry Reviews | 2016

Fourier transform ion cyclotron resonance (FT ICR) mass spectrometry: Theory and simulations

Eugene N. Nikolaev; Yury Kostyukevich; Gleb Vladimirov

Fourier transform ion cyclotron resonance (FT ICR) mass spectrometer offers highest resolving power and mass accuracy among all types of mass spectrometers. Its unique analytical characteristics made FT ICR important tool for proteomics, metabolomics, petroleomics, and investigation of complex mixtures. Signal acquisition in FT ICR MS takes long time (up to minutes). During this time ion-ion interaction considerably affects ion motion and result in decreasing of the resolving power. Understanding of those effects required complicated theory and supercomputer simulations but culminated in the invention of the ion trap with dynamic harmonization which demonstrated the highest resolving power ever achieved. In this review we summarize latest achievements in theory and simulation of FT ICR mass spectrometers.


Journal of the American Society for Mass Spectrometry | 2012

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

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

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).


Journal of the American Society for Mass Spectrometry | 2012

Performance of Orbitrap mass analyzer at various space charge and non-ideal field conditions: simulation approach.

Andriy Kharchenko; Gleb Vladimirov; Ron M. A. Heeren; Eugene N. Nikolaev

The orbital trap mass analyzer provides a number of unique analytical features along with inevitable limitations as an electrostatic instrument operating in high space charge regimes resulting in systematic measured frequency errors as an effect of stored ion clouds on the trap field and each other effect of non-ideal machining the trap electrodes, effect of injection slot, effect of real versus theoretical trap dimensions, etc. This paper deals with determining the influence of the space charge effect and imperfection of the electrostatic field on the motion of ion ensembles in the orbital trap. We examine effects of theoretically modeled non-harmonicity of the electrostatic potential and the number of confined ions on stability of coherent ion motion in the trap that determines the frequency shifts of axial ion oscillation. Three different Orbitrap geometries were considered: geometry close to preproduction Orbitrap, close to standard Orbitrap, close to high field Orbitrap. Frequency shifts for m/z = 500 and for charge state +23 of cytochrome c isotopic cluster particles with


Mass spectrometry | 2013

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

Evgene Nikolaev; Gleb Vladimirov; Roland Jertz; Gökhan Baykut


European Journal of Mass Spectrometry | 2017

The investigation of the bio-oil produced by hydrothermal liquefaction of Spirulina platensis using ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry

Yury Kostyukevich; Mikhail Vlaskin; Gleb Vladimirov; Alexander Zherebker; Alexey Kononikhin; Igor Popov; Eugene Nikolaev

{10^4}


European Journal of Mass Spectrometry | 2018

Influence of solvent on the yield and chemical composition of liquid products of hydrothermal liquefaction of Arthrospira platensis as revealed by Fourier transform ion cyclotron resonance mass spectrometry

Mikhail Vlaskin; Anatoly V. Grigorenko; Yury Kostyukevich; E. N. Nikolaev; Gleb Vladimirov; Nadezhda I. Chernova; S. V. Kiseleva; O. S. Popel; A.Z. Zhuk


European Journal of Mass Spectrometry | 2017

Effect of ion clouds micromotion on measured signal in Fourier transform ion cyclotron resonance: Computer simulation

Gleb Vladimirov; Yury Kostyukevich; Oleg N. Kharybin; Eugene Nikolaev

-6*


Journal of the American Society for Mass Spectrometry | 2012

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

Yury Kostyukevich; Gleb Vladimirov; Eugene N. Nikolaev


Journal of the American Society for Mass Spectrometry | 2014

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

Igor Popov; Konstantin O. Nagornov; Gleb Vladimirov; Yury Kostyukevich; Eugene Nikolaev

{10^6}


International Journal of Mass Spectrometry | 2012

Analysis of phase dependent frequency shifts in simulated FTMS transients using the filter diagonalization method

Franklin E. Leach; Andriy Kharchenko; Gleb Vladimirov; Konstantin Aizikov; Peter B. O’Connor; Eugene N. Nikolaev; Ron M. A. Heeren; I. Jonathan Amster

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Yury Kostyukevich

Skolkovo Institute of Science and Technology

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Eugene N. Nikolaev

Russian Academy of Sciences

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Eugene Nikolaev

Skolkovo Institute of Science and Technology

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E. N. Nikolaev

Russian Academy of Sciences

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Igor Popov

Moscow Institute of Physics and Technology

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Mikhail Vlaskin

Russian Academy of Sciences

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A.Z. Zhuk

Russian Academy of Sciences

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