Evidence map›Paper›PMID 24349929›Full record

ArticleMass spectrometry (Tokyo, Japan)2013

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

Evgene N Nikolaev, Gleb N Vladimirov, Roland Jertz, Gökhan Baykut

Open access · bronzeAbstract read
In one paragraph

Article in Mass spectrometry (Tokyo, Japan), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  5. On the Fine Isotopic Distribution and Limits to Resolution in Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Evgene N NikolaevThe Institute for Energy Problems of Chemical Physics, Russian Academy of Sciences.
Gleb N VladimirovThe Institute for Energy Problems of Chemical Physics, Russian Academy of Sciences.
Roland JertzBruker Daltonik GmbH.
Gökhan BaykutBruker Daltonik GmbH.
Bruker (United States) · USInstitute of Energy Problems of Chemical Physics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding of behavior of ion ensembles inside FT-ICR cell based on the computer simulation of ion motion gives rise to the new ideas of cell designs. The recently introduced novel FT-ICR cell based on a Penning ion trap with specially shaped excitation and detection electrodes prevents distortion of ion cyclotron motion phases (normally caused by non-ideal electric trapping fields) by averaging the trapping DC electric field during the ion motion in the ICR cell. Detection times of 5 min resulting in resolving power close to 40,000,000 have been reached for reserpine at m/z 609 at a magnetic field of only 7 Tesla. Fine structures of resolved 13Cn isotopic cluster groups could be measured for molecular masses up to 5.7 kDa (insulin) with resolving power of 4,000,000 at 7 Tesla. Based on resolved fine structure patterns atomic compositions can be directly determined using a new developed algorithm for fine structure processing. Mass spectra of proteins and multimers of proteins reaching masses up to 186 kDa (enolase tetramer) could be measured with isotopic resolution. For instance, at 7 Tesla resolving power of 800,000 was achieved for enolase dimer (96 kDa) and 500,000 for molecular masses above 100 kDa. Experimental data indicate that there is practically no limit for the resolving power of this ICR cell except by collisional damping in the ultrahigh vacuum chamber.

Indexed as

cyclotron motiondynamic harmonizationFT-ICR MSPenning trapsimulationsuper high resolution

Identifiers

PMID24349929
PMCPMC3810098
OpenAlexW1986425248

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.