Evidence map›Paper›PMID 21472606›Full record

ArticleJournal of the American Society for Mass Spectrometry2011

Differentiation of regioisomeric aromatic ketocarboxylic acids by positive mode atmospheric pressure chemical ionization collision-activated dissociation tandem mass spectrometry in a linear quadrupole ion trap mass spectrometer.

Lucas M Amundson, Benjamin C Owen, Vanessa A Gallardo, Steven C Habicht, Mingkun Fu, Ryan C Shea, Allen B Mossman, Hilkka I Kenttämaa

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Studying the Intrinsic Reactivity of Chromanes by Gas-Phase Infrared Spectroscopy.Journal of the American Society for Mass Spectrometry · 2024
    Article
  2. Article
  3. Fragmentation of Protonated N-(3-Aminophenyl)Benzamide and Its Derivatives in Gas Phase.Journal of the American Society for Mass Spectrometry · 2016
    Article
  4. "Meta elimination," a diagnostic fragmentation in mass spectrometry.Journal of the American Society for Mass Spectrometry · 2011
    Article
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.

Lucas M AmundsonDepartment of Chemistry, Purdue University, BRWN Building, 560 Oval Dr., West Lafayette, IN 47907, USA.
Benjamin C Owen
Vanessa A Gallardo
Steven C Habicht
Mingkun Fu
Ryan C Shea
Allen B Mossman
Hilkka I Kenttämaa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positive-mode atmospheric pressure chemical ionization tandem mass spectrometry (APCI-MS(n)) was tested for the differentiation of regioisomeric aromatic ketocarboxylic acids. Each analyte forms exclusively an abundant protonated molecule upon ionization via positive-mode APCI in a commercial linear quadrupole ion trap (LQIT) mass spectrometer. Energy-resolved collision-activated dissociation (CAD) experiments carried out on the protonated analytes revealed fragmentation patterns that varied based on the location of the functional groups. Unambiguous differentiation between the regioisomers was achieved in each case by observing different fragmentation patterns, different relative abundances of ion-molecule reaction products, or different relative abundances of fragment ions formed at different collision energies. The mechanisms of some of the reactions were examined by H/D exchange reactions and molecular orbital calculations.

Indexed as

Atmospheric PressureBenzoatesCarboxylic AcidsFluorenesKetonesStereoisomerismTandem Mass SpectrometryWaterBenzoatesCarboxylic AcidsFluorenesKetonesWater

Identifiers

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.