Evidence map›Paper›PMID 30619201›Full record

ArticleFrontiers in microbiology2018

Detection of Foodborne Pathogens Using Proteomics and Metabolomics-Based Approaches.

Snehal R Jadhav, Rohan M Shah, Avinash V Karpe, Paul D Morrison, Konstantinos Kouremenos, David J Beale, Enzo A Palombo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Food for Thought: Proteomics for Meat Safety.Life (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Reducing time in detection ofJournal of food science and technology · 2021
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 4 institutions in 1 country.

Snehal R JadhavDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
Rohan M ShahDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
Avinash V KarpeDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
Paul D MorrisonAustralian Centre for Research on Separation Science, RMIT University, Melbourne, VIC, Australia.
Konstantinos KouremenosMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, VIC, Australia.
David J BealeLand and Water, Commonwealth Scientific and Industrial Research Organisation, Brisbane, QLD, Australia.
Enzo A PalomboDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.
Swinburne University of Technology · AUCommonwealth Scientific and Industrial Research Organisation · AURMIT University · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the short shelf-life of certain food products such as red meat, there is a need for rapid and cost-effective methods for pathogen detection. Routine pathogen testing in food laboratories mostly relies on conventional microbiological methods which involve the use of multiple selective culture media and long incubation periods, often taking up to 7 days for confirmed identifications. The current study investigated the application of omics-based approaches, proteomics using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-ToF MS) and metabolomics using gas chromatography-mass spectrometry (GC-MS), for detection of three red meat pathogens -

Indexed as

biomarkerschemometricsfood safetymass fingerprintmetabolomic profilingproteomestatistical discrimination

Identifiers

PMID30619201
PMCPMC6305589
OpenAlexW2904187897

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.