Evidence map›Paper›PMID 23346082›Full record

ArticleFrontiers in microbiology2013

Nucleic acid-based approaches to investigate microbial-related cheese quality defects.

Daniel J O'Sullivan, Linda Giblin, Paul L H McSweeney, Jeremiah J Sheehan, Paul D Cotter

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Decarboxylase activity of the non-starter lactic acid bacteriumApplied and environmental microbiology · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Lactic Starter Dose ShapesMicroorganisms · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. The Impact ofFrontiers in microbiology · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

5 authors.

Daniel J O'SullivanFood Bioscience Department, Teagasc Food Research Centre Fermoy, Ireland ; School of Food and Nutritional Sciences, University College Cork Cork, Ireland.
Linda Giblin
Paul L H McSweeney
Jeremiah J Sheehan
Paul D Cotter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial profile of cheese is a primary determinant of cheese quality. Microorganisms can contribute to aroma and taste defects, form biogenic amines, cause gas and secondary fermentation defects, and can contribute to cheese pinking and mineral deposition issues. These defects may be as a result of seasonality and the variability in the composition of the milk supplied, variations in cheese processing parameters, as well as the nature and number of the non-starter microorganisms which come from the milk or other environmental sources. Such defects can be responsible for production and product recall costs and thus represent a significant economic burden for the dairy industry worldwide. Traditional non-molecular approaches are often considered biased and have inherently slow turnaround times. Molecular techniques can provide early and rapid detection of defects that result from the presence of specific spoilage microbes and, ultimately, assist in enhancing cheese quality and reducing costs. Here we review the DNA-based methods that are available to detect/quantify spoilage bacteria, and relevant metabolic pathways in cheeses and, in the process, highlight how these strategies can be employed to improve cheese quality and reduce the associated economic burden on cheese processors.

Indexed as

cheese quality defectsmicrobial defectsmolecular methods

Identifiers

PMID23346082
PMCPMC3549567

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.