Evidence map›Paper›PMID 18155920›Full record

ArticleJournal of the American Society for Mass Spectrometry2008

Parameters contributing to efficient ion generation in aerosol MALDI mass spectrometry.

Erica L McJimpsey, William M Jackson, Carlito B Lebrilla, Herbert Tobias, Michael J Bogan, Eric E Gard, Matthias Frank, Paul T Steele

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Article in Journal of the American Society for Mass Spectrometry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Erica L McJimpseyDepartment of Chemistry, University of California, Davis, Davis, California 95616, USA. mcjimpsey2@llnl.gov
William M Jackson
Carlito B Lebrilla
Herbert Tobias
Michael J Bogan
Eric E Gard
Matthias Frank
Paul T Steele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Bioaerosol Mass Spectrometry (BAMS) system was developed for the real-time detection and identification of biological aerosols using laser desorption ionization. Greater differentiation of particle types is desired; consequently MALDI techniques are being investigated. The small sample size ( approximately 1 microm3), lack of substrate, and ability to simultaneously monitor both positive and negative ions provide a unique opportunity to gain new insight into the MALDI process. Several parameters known to influence MALDI molecular ion yield and formation are investigated here in the single particle phase. A comparative study of five matrices (2,6-dihydroxyacetophenone, 2,5-dihydroxybenzoic acid, alpha-cyano-4-hydroxycinnamic acid, ferulic acid, and sinapinic acid) with a single analyte (angiotensin I) is presented and reveals effects of matrix selection, matrix-to-analyte molar ratio, and aerosol particle diameter. The strongest analyte ion signal is found at a matrix-to-analyte molar ratio of 100:1. At this ratio, the matrices yielding the least and greatest analyte molecular ion formation are ferulic acid and alpha-cyano-4-hydroxycinnamic acid, respectively. Additionally, a significant positive correlation is found between aerodynamic particle diameter and analyte molecular ion yield for all matrices. SEM imaging of select aerosol particle types reveals interesting surface morphology and structure.

Indexed as

AcetophenonesAerosolsAlgorithmsAngiotensin ICoumaric AcidsGentisatesIonsLasersMicroscopy, Electron, ScanningParticle SizeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSurface Properties2,5-dihydroxybenzoic acid2,6-dihydroxyacetophenoneAcetophenonesAerosolsAngiotensin ICoumaric AcidsGentisatesIons

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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.