• Title of article

    Use of Real-Time PCR and High-Resolution Melting Analysis for Detection and Discrimination of Salmonella typhimurium and Salmonella enteritidis in Contaminated Raw-Egg Samples

  • Author/Authors

    Ahari, H Associate Professor of the Department of Food Science and Technology - Science and Research Branch - Islamic Azad University, Tehran , Fahimi, S MSc Student of the Department of Food Science and Technology - Science and Research Branch - Islamic Azad University, Tehran , Sheikhi, N Assistant Professor of the Department of Hygiene - Science and Research Branch - Islamic Azad University, Tehran , Anvar, A. A Assistant Professor of the Department of Hygiene - Science and Research Branch - Islamic Azad University, Tehran , Paidari, S MSc Student of the Department of Food Science and Technology - Science and Research Branch - Islamic Azad University, Tehran

  • Pages
    10
  • From page
    59
  • To page
    68
  • Abstract
    In order to evaluate the efficacy of high-resolution melting (HRM) analysis in the detection and discrimination of S. typhimurium and S. enteritidis, this study was conducted on 30 samples of raw eggs, where 14 treatments were employed: 4 groups of samples contaminated with Salmonella typhimurium, 4 with S. enteritidis, 4 with a mixture of both, as well as 2 control groups. DNA was extracted from the contaminated samples and used for preparation of a target DNA sequence using an invA gene-specific primer pair. RT-PCR identified and detected Salmonella in the contaminated egg samples within less than 24 hours, and HRM analysis proved that this method is suitable for the discrimination of the S. enteritidis and S. typhimurium species. The sensitivity of this method was equal to 200 Salmonella cells per microliter, and HRM analysis could distinguish S. enteritidis and S. typhimurium and their combination with high consistency (R2 > .993).
  • Keywords
    HRM , Melting Curve , Real Time-PCR , Salmonella enteritidis , Salmonella typhimurium
  • Journal title
    Journal of Food Biosciences and Technology
  • Serial Year
    2021
  • Record number

    2523715