摘要
为检验电子舌在茶饮料方面的辨识能力,该文应用法国Alpha M.O.S公司生产的传感器型电子舌对中国市场上已有的7种红茶饮料进行检测,所得数据用主成分分析法(PCA)和聚类分析法(CA)进行分析。结果表明,该电子舌可以很好的区分这7种红茶饮料。且在PCA第1主成分和第2主成分得分图上,区别指数达95.38。由此可见,电子舌在茶饮料的品牌区分、质检以及真伪辨识中有巨大的应用潜力。同时,该研究也初步探讨了聚类分析法在电子舌数据处理方面的应用。
The study was aimed to detect the application of the electronic tongue on tea beverage. Seven kinds of black tea beverage which was sold in the Chinese market were detected by the electronic tongue （ET） which was based on potentiometric chemical sensors developed by Alpha M.O.S. （Toulouse, France）. All data were treated by multivariate data processing based on principal component analysis （PCA） and cluster analysis （CA）. Those seven kinds of black tea beverage could be well discriminated by the electronic tongue. On the PC 1 and PC2 score chart, all kinds of black tea beverage points fell on different districts and did not mix with each other and the discrimination index was 95.38. The results showed that the electronic tongue displayed great application potential in tea beverage quality examination and discrimination of fake tea products. Meanwhile, the research preliminarily discussed the applications of cluster analysis on the electronic tongue data processing.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2009年第11期345-349,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家"948"资助项目(2004-Z33)
关键词
判别分析
聚类分析
应用
电子舌
红茶饮料
主成分分析
discrimination analysis
cluster analysis
applications
electronic tongue
black tea beverage
principal component analysis
