Evidence map›Paper›PMID 26744293›Full record

ArticleJournal of the American Society for Mass Spectrometry2016

Compatibility of Spatially Coded Apertures with a Miniature Mattauch-Herzog Mass Spectrograph.

Zachary E Russell, Shane T DiDona, Jason J Amsden, Charles B Parker, Gottfried Kibelka, Michael E Gehm, Jeffrey T Glass

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Zachary E RussellDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.
Shane T DiDonaDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.
Jason J AmsdenDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.
Charles B ParkerDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.
Gottfried KibelkaCMS Field Products, OI Analytical, a Xylem brand, College Station, TX, 77842-9010, USA.
Michael E GehmDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.
Jeffrey T GlassDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA. jeff.glass@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to minimize losses in signal intensity often present in mass spectrometry miniaturization efforts, we recently applied the principles of spatially coded apertures to magnetic sector mass spectrometry, thereby achieving increases in signal intensity of greater than 10× with no loss in mass resolution Chen et al. (J. Am. Soc. Mass Spectrom. 26, 1633-1640, 2015), Russell et al. (J. Am. Soc. Mass Spectrom. 26, 248-256, 2015). In this work, we simulate theoretical compatibility and demonstrate preliminary experimental compatibility of the Mattauch-Herzog mass spectrograph geometry with spatial coding. For the simulation-based theoretical assessment, COMSOL Multiphysics finite element solvers were used to simulate electric and magnetic fields, and a custom particle tracing routine was written in C# that allowed for calculations of more than 15 million particle trajectory time steps per second. Preliminary experimental results demonstrating compatibility of spatial coding with the Mattauch-Herzog geometry were obtained using a commercial miniature mass spectrograph from OI Analytical/Xylem.

Indexed as

Charged particle opticsCoded apertureMagnetic SectorMattauch-HerzogMiniature mass spectrometer

Identifiers

What OpenQuestion holds

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Registered trials

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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.