摘要
使用电子舌分别对有机正山小种红茶、普通一级正山小种红茶和普通二级正山小种红茶的滋味进行分析,然后采用主成分分析(PCA)、判别因子分析(DFA)和K-最近邻算法(KNN)对电子舌区分有机正山小种红茶和普通正山小种滋味的可行性进行了分析,结果表明电子舌结合主成分分析、判别因子分析和K-近邻算法可以明显迅速地区分有机和普通正山小种红茶的滋味,为进一步的有机茶的鉴定和认证工作提供帮助。
Electronic tongue was used to discriminate relish from organic Lapsang Souchong, ordinary primary Lapsang Souchong and ordinary secondary Lapsang Souchong. Then, principal component analysis (PCA), discriminant factor analysis (DFA) and K-Nearest Neighbor (KNN) were used for analysising the ability of distinction between organic Lapsang Souchong and ordinary Lapsang Souchong. The results showed that electronic tongue combined with principal component analysis, discriminant factor analysis and K-Nearest Neighbor could clearly and rapidly distinguish the difference of relish among organic and ordinary Lapsang Souchong, providing assistance for further identificating and certificating organic tea.
出处
《食品工业》
北大核心
2015年第9期240-243,共4页
The Food Industry
关键词
有机正山小种红茶
电子舌
滋味
识别
organic Lapsang Souchong
electronic tongue
relish
identification