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《Food Science and Technology》 2010-12
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Classification of tea's grade level based on electronic tongue

XUE Dan1,SHI Bo-lin2,3,ZHAO Lei3,YIN Jing-yuan1*(1.School of Computer Engineering and Science,Shanghai University,Shanghai 200072;2.School of Communication and Information Engineering,Shanghai University,Shanghai 200072;3.Food and Agriculture Standardization Institute,China National Institute of Standardization,Beijing 100088)  
The study was aimed to detect the application of the electronic tongue on Westlake dragon well green tea's quality discrimination.Four grades of Westlake dragon well green tea in 2009 were detected by the electronic tongue(ET).The relationship between the grade and the response intensity of the sensors was computed and the Fisher discrimination model was built to classify the tea's grade.The results showed the sensor BA was strongly positively related with the grade,while BB was no significant relation with it.The accuracy of Fisher discrimination model reached 90%.So,the electronic tongue displayed great application potential in tea production and quality control.
【Fund】: 2008年上海大学创新基金项目(2008);; 2008年上海高校选拔培养优秀青年教师科研专项基金项目(2008);; 中国博士后科学基金项目(20080440614)
【CateGory Index】: TS272.7
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