Evidence map›Paper›PMID 23541210›Full record

ArticleFood microbiology2013

Detection of Escherichia coli via VOC profiling using secondary electrospray ionization-mass spectrometry (SESI-MS).

Jiangjiang Zhu, Jane E Hill

Abstract readEvaluation Study
In one paragraph

Article in Food microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Rapid detection ofiScience · 2022
    Article
  5. Article
  6. Sensors (Basel, Switzerland) · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

2 authors.

Jiangjiang ZhuUniversity of Vermont, School of Engineering, 33 Colchester Avenue, Burlington, VT 05405-0156, USA.
Jane E Hill

Funding

VERMONT IMMUNOBIOLOIGY/ INFECTIOUS DISEASES CENTERP20RR021905 · NCRR · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MATRAJT, MARIANA L · 2006 to 2011
$14.5M
Vermont Immunobioloigy/ Infectious Diseases CenterP20GM103496 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2012 to 2015
$8.7M
NCRR NIH HHS 5P20RR021905-07NCRR NIH HHS P20 RR021905NIGMS NIH HHS 8 P20 GM103496-07NIGMS NIH HHS P20 GM103496
6 · The paper itself

Abstract

Escherichia coli O157:H7 (EC O157:H7), as well as its recently emerging non-O157 relatives, are a notorious group of pathogenic bacteria associated with foodborne outbreaks. In this study, we demonstrated that secondary electrospray ionization mass spectrometry (SESI-MS) could be a rapid and accurate detection technology for foodborne pathogens. With SESI-MS volatile organic compound (VOC) profiling, we were able to detect and separate a group of eleven E. coli strains from two major foodborne bacteria, Staphylococcus aureus and Salmonella Typhimurium in three food modeling media. In addition, heatmap analysis of relative peak intensity show that there are six core peaks (m/z of 65, 91, 92, 117, 118 and 119) present and at a similar intensity in all eleven E. coli strains at the experimental conditions we tested. These peaks can be considered conserved VOC biomarkers for E. coli species (robustly produced after just 4 h of growth). Bacterial strain-level differentiation was also attempted via VOC profiling, and we found that EC O157:H7 and EC O145 were differentiable from all other EC strains under the conditions investigated.

Indexed as

Bacterial Typing TechniquesEscherichia coliSalmonella typhimuriumSpectrometry, Mass, Electrospray IonizationStaphylococcus aureusVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID23541210
PMCPMC4425455

What OpenQuestion holds

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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.