Detection Strategies for Foodborne Salmonella and Prospects for Utilization of Whole Genome Sequencing Approaches

Si Hong Park, Mushin Aydin, Peixin Fan, Shinyoung Lee, Lin Teng, Sun Ae Kim, Soohyoun Ahn, Steven C. Ricke, Zhaohao Shi, Kwangcheol C. Jeong

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


Among the foodborne pathogenic bacteria, Salmonella genus was the leading cause of illness-related hospitalizations and deaths. Salmonella is a facultative anaerobic, gram-negative, non-spore-forming, rod-shaped bacterium that belongs to the family of Enterobacteriaceae. Salmonellosis caused by Salmonella usually continues 4-7. days based on health conditions of individuals along with diarrhea, fever, nausea, and abdominal cramps ranging from 12 to 72. h after infection. To prevent and detect Salmonella contaminations in foods, several types of detection methods have been adopted and evaluated. Although traditional culture-based methods have advantages such as low cost and less expensive instrumentation for detection of viable Salmonella strains in foods, they can be time-consuming and labor-intensive. In contrast, molecular-based (DNA or RNA) detection methods exhibit high sensitivity, accuracy than any other method. In this chapter, molecular-based methodologies including several types of polymerase chain reaction assays and whole genome sequencing involving next-generation sequencing platforms will be discussed.

Original languageEnglish
Title of host publicationFood and Feed Safety Systems and Analysis
Number of pages20
ISBN (Electronic)9780128498880
ISBN (Print)9780128118351
StatePublished - 2018

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Inc. All rights reserved.


  • Detection
  • Salmonella
  • Whole genome sequencing


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