电子舌在绿茶饮料区分辨识中的应用

Application of electronic tongue on green tea beverage discrimination

用传感器型电子舌对目前市场上已有的5个品牌共7种绿茶饮料进行检测,以检验电子舌在绿茶软饮料方面的辨识能力。所得数据用主成分分析法、聚类分析法和相似性分析法进行分析。结果表明,该电子舌能够很好的区分这7种绿茶饮料,主成分分析图中的区分指数达到96,且聚类分析和相似性分析的结果与主成分分析结果一致。本结果预示着电子舌在绿茶饮料的味觉区分、在线监测以及真伪辨识等方面具有广阔的应用前景。

The aim of the study was to detect the apprication of the electronic tongue on green tea beverage. Seven kinds of green tea beverage sold in the market were detected by the electronic tongue which was based on potentiometric chemical sensors developed by Alpha M.O.S. （Toulouse,France）. All data were treated based on principal component analysis （PCA） ,cluster analysis （CA） and similarity analysis（SA）. The results showed that the electronic tongue could very good distinguish between those seven green tea beverage, and the discrimination index of PCA plot was 96. Therefore,the electronic tongue displayed great application potential in green tea beverage taste discrimination,online monitoring and authenticity identification.