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Molecular diagnostics for dairy-borne pathogens

C A Batt1

  • 1Department of Food Science, Cornell University, Ithaca, NY 14853, USA.

Journal of Dairy Science
|January 1, 1997
PubMed
Summary
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Nucleic acid diagnostic assays enhance dairy food safety by rapidly detecting bacterial pathogens and identifying their reservoirs. These molecular methods, including TaqMan polymerase chain reaction detection and automated ribosomal RNA analysis, offer improved sensitivity and automation for comprehensive food microbiology.

Area of Science:

  • Food microbiology
  • Molecular diagnostics
  • Food safety science

Background:

  • Maintaining dairy food safety is critical.
  • Current diagnostic methods face challenges in sample handling and quantification.
  • Molecular techniques offer advanced solutions for pathogen detection and identification.

Purpose of the Study:

  • To explore novel nucleic acid-based diagnostic assays for dairy food safety.
  • To develop rapid detection methods for bacterial pathogens.
  • To identify pathogen reservoirs in the food production environment.

Main Methods:

  • Utilized TaqMan polymerase chain reaction (PCR) detection for rapid, homogeneous assay of target sequences.
  • Applied automated ribosomal RNA (rRNA) analysis for bacterial pathogen reservoir identification.

Related Experiment Videos

  • Developed a fluorogenic PCR assay leveraging Taq DNA polymerase's 5',3'-endonuclease activity.

    • Main Results:

    • The TaqMan PCR assay detected Listeria monocytogenes with high sensitivity (<50 cells) and a wide dynamic range (>1000-fold) in 2-3 hours for ~100 samples.
    • Automated rRNA analysis differentiated pathogenic strains from environmental isolates, identifying disease-causing bacteria.
    • Demonstrated the robustness and applicability of TaqMan PCR to various food and environmental pathogens.

    Conclusions:

    • Nucleic acid-based assays, particularly TaqMan PCR and automated rRNA analysis, revolutionize dairy food safety.
    • These molecular methods provide rapid detection and reservoir identification, enhancing pathogen control.
    • Automation and integration of molecular diagnostics are key for future food microbiology from farm to product.