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Development of a real-time multiplex PCR assay for the detection of multiple Salmonella serotypes in chicken samples

  • Edel O'regan
  • , Evonne McCabe
  • , Catherine Burgess
  • , Sheila McGuinness
  • , Thomas Barry
  • , Geraldine Duffy
  • , Paul Whyte
  • , Séamus Fanning
  • University College Dublin
  • Ashtown Food Research Centre
  • University of Galway

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

116 Citations (Scopus)

Abstract

Background: A real-time multiplex PCR assay was developed for the detection of multiple Salmonella serotypes in chicken samples. Poultry-associated serotypes detected in the assay include Enteritidis, Gallinarum, Typhimurium, Kentucky and Dublin. The traditional cultural method according to EN ISO 6579: 2002 for the detection of Salmonella in food was performed in parallel. The real-time PCR based method comprised a pre-enrichment step in Buffered Peptone Water (BPW) overnight, followed by a shortened selective enrichment in Rappaport Vasilliadis Soya Broth (RVS) for 6 hours and subsequent DNA extraction.Results: The real-time multiplex PCR assay and traditional cultural method showed 100% inclusivity and 100% exclusivity on all strains tested. The real-time multiplex PCR assay was as sensitive as the traditional cultural method in detecting Salmonella in artificially contaminated chicken samples and correctly identified the serotype. Artificially contaminated chicken samples resulted in a detection limit of between 1 and 10 CFU per 25 g sample for both methods. A total of sixty-three naturally contaminated chicken samples were investigated by both methods and relative accuracy, relative sensitivity and relative specificity of the real-time PCR method were determined to be 89, 94 and 87%, respectively. Thirty cultures blind tested were correctly identified by the real-time multiplex PCR method.Conclusion: Real-time PCR methodology can contribute to meet the need for rapid identification and detection methods in food testing laboratories.
Original languageEnglish (Ireland)
Article number156
JournalBMC MICROBIOLOGY
Volume8
DOIs
Publication statusPublished - 1 Sept 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

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