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식중독균의 검출을 위한 시료전처리 및 핵산기반의 분석기술

Sample Preparation and Nucleic Acid-based Technologies for the Detection of Foodborne Pathogens

  • 임민철 (한국식품연구원) ;
  • 김영록 (경희대학교 생명과학대학 식품생명공학과)
  • Lim, Min-Cheol (Korea Food Research Institute) ;
  • Kim, Young-Rok (Department of Food Science and Biotechnology & Graduate School of Biotechnology, Kyung Hee University)
  • 투고 : 2017.05.31
  • 심사 : 2017.07.10
  • 발행 : 2017.08.31

초록

There have been great efforts to develop a rapid and sensitive detection method to monitor the presence of pathogenic bacteria in food. While a number of methods have been reported for bacterial detection with a detection limit to a single digit, most of them are suitable only for the bacteria in pure culture or buffered solution. On the other hand, foods are composed of highly complicated matrices containing carbohydrate, fat, protein, fibers, and many other components whose composition varies from one food to the other. Furthermore, many components in food interfere with the downstream detection process, which significantly affect the sensitivity and selectivity of the detection. Therefore, isolating and concentrating the target pathogenic bacteria from food matrices are of importance to enhance the detection power of the system. The present review provides an introduction to the representative sample preparation strategies to isolate target pathogenic bacteria from food sample. We further describe the nucleic acid-based detection methods, such as PCR, real-time PCR, NASBA, RCA, LCR, and LAMP. Nucleic acid-based methods are by far the most sensitive and effective for the detection of a low number of target pathogens whose performance is greatly improved by combining with the sample preparation methods.

키워드

과제정보

연구 과제 주관 기관 : 농촌진흥청

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