Determination of foodborne pathogens in minced beef by real-time PCR without culture enrichment


Turanoglu B., Omeroglu M. A., Baltaci M. Ö., Adiguzel G., Adiguzel A.

JOURNAL OF MICROBIOLOGICAL METHODS, cilt.219, 2024 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 219
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.mimet.2024.106896
  • Dergi Adı: JOURNAL OF MICROBIOLOGICAL METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Environment Index, Food Science & Technology Abstracts, Veterinary Science Database
  • Anahtar Kelimeler: Foodborne pathogens, Minced beef, Real-time PCR
  • Atatürk Üniversitesi Adresli: Evet

Özet

Meat provides the necessary environment for the growth of foodborne pathogens due to its features such as being rich in protein and having sufficient water activity. Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7, which can be transmitted through many foods, including water, and cause serious diseases, are among the significant pathogens. In the current study. Detection of Listeria monocytogenes, Escherichia coli and Salmonella enterica in 100 minced beef samples collected from different butchers and markets situated in the central districts of Erzurum province was performed by Real -Time PCR without pre -enrichment and DNA isolation. Linear regression equations of Ct values of standard pathogenic bacteria were created. Ct values of minced beef samples obtained as a result of Real -Time PCR analysis were substituted in the equations, and the amounts of pathogenic bacteria in the samples were determined. Listeria monocytogenes, Escherichia coli, and Salmonella enterica were detected in 45, 30, and 29 of 100 minced beef samples, respectively. It is known that the Real -Time PCR method, which is used to detect pathogenic bacteria, is more specific, fast, and reliable than conventional methods. According to the results obtained, it has been clearly observed that with our new approach, pathogenic bacteria growing on foods can be detected sensitively with less cost, shorter amount of time, and minimized workload without pre -enrichment and DNA isolation.