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Recent progress in gene-sensing strategies for rapid detection of foodborne pathogens
Date:6/20/2013

Food is the basis of human survival and development, and its safety is an important issue for people's livelihood, and also an important indicator to measure the quality of people's lives in a country. The statistics showed that the main factor of Chinese food poisoning remained to be microbial pathogens, ranking before the chemical toxin. In food contamination, some common and highly pathogenic pathogens include Listeria monocytogenes, Vibrio parahaemolyticus, Norwalk and Rotavirus, which are the culprit cause of food poisoning. In the hot and humid southern China, the problems caused by these foodborne pathogenic microorganism epidemics are particularly prominent. Therefore, rapid and accurate detection of food pathogenic microorganisms are key technologies to timely control and prevent pathogenic food poisoning.

"Recent progress in gene-sensing techniques for rapid detection of foodborne pathogens", written by Dr Xiao Zhu, and with professor Da Xing form Institute of Laser Life Science, South China Normal University as the corresponding author around the characteristics of their research, briefly summarized the latest progresses of rapidly detecting foodborne pathogenic microorganisms based on the recognition of characteristic genes. This paper has published on the Chin Sci Bull (Chin Ver), 2013 year, 11 issue.

Nowadays, due to the rapid development of molecular biology techniques, especially the emerging new biological detection method based on the recognition of characteristic genes, vitality has been injected in the development of high sensitive and specific detection methods of foodborne pathogenic microorganisms. Compared with the antigen-antibody based detection method, these methods have the advantages of specificity, high sensitivity and wide range of application. Motivated by these theories, Xing's group has successfully developed some foodborne pathogenic microorganisms detection methods with prominent features based on
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Contact: Zhu Xiao
zhuxiao@scnu.edu.cn
Science China Press
Source:Eurekalert

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