Trends in Rapid Detection Methods for Food-borne pathogenic Microorganisms by Using New Technologies

Recently, speedy, convenient and easy detection technologies have been developed rapidly and on the contrary, studies on development of traditional detectors applying biochemical characteristics has gradually been decreased. This review examined trend in current studies on detection of food-borne pa...

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Published inHan'gug sigpum wi'saeng anjeonseong haghoeji Vol. 25; no. 4
Main Authors Kim, H.J., Chung-Ang University, Ansung, Republic of Korea, Kim, Y.S., Korea Health Industry Development Institute, Cheongwon, Republic of Korea, Chung, M.S., Korea Health Industry Development Institute, Cheongwon, Republic of Korea, Oh, D.H., Kangwon National University, Chuncheon, Republic of Korea, Chun, H.S., Korea Food Research Institute, Sungnam, Republic of Korea, Ha, S.D., Chung-Ang University, Ansung, Republic of Korea
Format Journal Article
LanguageKorean
Published 01.12.2010
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Summary:Recently, speedy, convenient and easy detection technologies have been developed rapidly and on the contrary, studies on development of traditional detectors applying biochemical characteristics has gradually been decreased. This review examined trend in current studies on detection of food-borne pathogenic microorganisms in the fields of selective media, immuno-assay, Polymerase Chain Reaction (PCR), microarray, terahertz spectroscopy and imagination and so on. Most traditional methods to detect the organisms from food matrix rely on selective media and such a method have disadvantages like long time requirement and distinguishing one species only from each selective medium although they are highly economical. Various new convenient methods such as Enzyme Linked Immuno-sorbent Assay (ELISA), paper-strip kit, fluoroimmunoassay etc. have been developed. The most ideal method for detecting food-borne pathogenic microorganisms in foods should be accurate, convenient, rapid and economical. Additionally, it is needed that capabilities of quantitative analysis and automation to be applied to industries.
Bibliography:Q01
2011004000
ISSN:1229-1153