Evidence map›Paper›PMID 17351094›Full record

ArticleApplied and environmental microbiology2007

Optimization of a 12-hour TaqMan PCR-based method for detection of Salmonella bacteria in meat.

M H Josefsen, M Krause, F Hansen, J Hoorfar

Abstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Toward same-day detection ofFrontiers in microbiology · 2025
    Article
  2. Article
  3. Molecular diagnostics ofAIMS microbiology · 2021
    Article
  4. Detection ofFoods (Basel, Switzerland) · 2019
    Review
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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

4 authors.

M H JosefsenNational Food Institute, Bülowsvej 27, DK-1790 Copenhagen, Denmark.
M Krause
F Hansen
J Hoorfar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a 12-h Salmonella detection method, based on 8 h of preenrichment, followed by automated DNA extraction and a sensitive real-time PCR. The method was optimized to obtain the highest possible yield of cells and DNA. The growth of different Salmonella strains in various preenrichment media and the effects of adding growth-promoting and selective reagents were explored, taking into account their PCR compatibility. The effects of (i) analyzing larger volumes (1 to 5 ml) from preenriched samples and introducing wash steps prior to DNA extraction, (ii) regulating the amount of paramagnetic particles (increasing it from 60 to 90 microl) in the DNA extraction, (iii) eluting the DNA in reduced volumes (25 or 50 microl rather than 100 microl), and (iv) increasing the PCR template volume (from 5 to 20 microl) were investigated. After 8 h of preenrichment, buffered peptone water yielded the highest number of salmonellae. When analyzing minced meat samples, positive effects of increasing the initial sampling volume from 1 to 5 ml and increasing the amount of paramagnetic particles to 90 microl were observed. However, washing the pellet and eluting the DNA in reduced volumes (25 and 50 microl) had no positive effects and resulted in decreased reproducibility. Increasing the amount of PCR template DNA from 5 to 20 mul improved the threshold cycle value by approximately 2. The improved 12-h PCR method was successfully compared to a reference culture method with 100 minced meat and poultry samples, with a relative accuracy of 99%, a relative sensitivity of 98%, and a relative specificity of 100%.

Indexed as

Food MicrobiologySalmonellaFluorescent DyesFood ContaminationMeatPolymerase Chain ReactionFluorescent Dyes

Identifiers

PMID17351094
PMCPMC1892850

What OpenQuestion holds

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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.