基于气敏传感器阵列的茶叶等级检测方法研究  

Detection of tea grade based on gas array sensor

作　　者：张红梅[1] 高献坤[1] 徐国强[2] 余泳昌[1] 

机构地区：[1]河南农业大学机电工程学院,河南郑州450002 [2]郑州华信学院机电系,河南郑州451100

出　　处：《河南农业大学学报》2010年第2期177-179,共3页Journal of Henan Agricultural University

基　　金：中国博士后基金项目(2009046054);河南农业大学博士基金项目(30500250)

摘　　要：采用由6个金属氧化物气敏传感器组成阵列的电子鼻对3个等级的信阳毛尖茶进行检测.通过主成分分析(PCA)、系统聚类分析和线性判别分析(LDA)对茶叶样本进行了分类判别.试验结果表明,该气敏传感器阵列可以区分不同等级的信阳毛尖茶叶.PCA、系统聚类分析和LDA判别分析的正确率分别为96.6%,88.3%,100%.Xinyang Maojian Tea grade was measured by the gas sensor array which was composed of six metal oxide semiconductor gas sensors. Principal component analysis （PCA） , system cluster analysis and linear-discriminant analysis （LDA） were used in the data analysis and pattern recognition. The results show that gas sensor array could discriminate different grade of Xinyang Maojian Tea. The correct rate of PCA, system cluster analysis and LDA for tea samples are 96.6% , 88.3% and 100% , respectively.

关 键 词：传感器阵列 信阳毛尖茶 等级检测 

分 类 号：TS272.7[农业科学—茶叶生产加工]