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Protein Mechanics: from Single Molecule Force Spectroscopy toProtein-based Bi...
化工系膜中心学术论坛-MOF Chemistry: From design strategies to Applications
清华大学材料科学与工程研究院《材料科学论坛》学术报告:Multi-aspect characteri...
Brain-like spiking neural networks: A 4th generation of neural network models
报告题目:
Food safety and biosensors
 报告人:
Zhongyang Cheng
Alumni Professor, Materials Engineering and Mechanical Engineering
Associate Director, Auburn University Detection and Food Safety Center (AUDFS)
Graduate Program Office, Materials Engineering
Undergraduate Advisor, Materials Engineering
报告时间:
2019-07-03 14:30
报告地点:
西主楼2区212
主办单位:
电机系
  简介:

Abstract:Food safety and security is a key public issue. The best way to prevent the diseases related to foodborne pathogenic microorganisms is to detect their presence in food chain at its earliest stage. Therefore, various biosensors have been developed to tackle the food safety. In general, a biosensor has three units: biomolecular recognition unit, transducer, and reading unit. The biomolecular recognition unit can be antibody, enzyme, phage and protein. The reading unit can be a computer or cellphone or special electronic device. The transducer uses different physical phenomena. Based on the transducer used, all the biosensors can be classified into acoustic, electronic, magnetic, mechanical, optical and electrochemical based transducers. 


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