首页 | 本学科首页   官方微博 | 高级检索  
     

绿茶矿质元素特征分析及产地判别研究
引用本文:罗婷,赵镭,胡小松,汪厚银,廖小军,吴继红. 绿茶矿质元素特征分析及产地判别研究[J]. 食品科学, 2008, 29(11)
作者姓名:罗婷  赵镭  胡小松  汪厚银  廖小军  吴继红
作者单位:中国农业大学食品科学与营养工程学院,中国标准化研究院
摘    要:本实验采用湿法消解结合ICP-AES法对来自不同产地的28种绿茶中的K、Ca、Mg、Fe、Zn、Cu等9种元素进行了分析测定,结合主成分分析及聚类分析模式识别方法进行茶叶产地的分类。结果表明,采用该方法对不同产地绿茶能够良好地区分,聚类效果明显。本法简便、准确,对茶叶产地判别以及标准化工作具有重要意义。

关 键 词:绿茶  ICP-AES  矿质元素  聚类分析  主成分分析

Study on Characteristic Analysis of Mineral Elements in Green Tea and Discrimination Based on Origin
LUO Ting,ZHAO Lei,HU Xiao-song,WANG Hou-yin,LIAO Xiao-jun,WU Ji-hong. Study on Characteristic Analysis of Mineral Elements in Green Tea and Discrimination Based on Origin[J]. Food Science, 2008, 29(11)
Authors:LUO Ting  ZHAO Lei  HU Xiao-song  WANG Hou-yin  LIAO Xiao-jun  WU Ji-hong
Abstract:The contents of nine mineral elements(K,Ca,Mg,Fe,Zn and Cu etc) in twenty-eight green tea samples from different areas of China were analyzed by ICP-AES after digestion.Then pattern recognition techniques including principal component analysis(PCA) and cluster analysis(CA) were applied to differentiate the geographical origins of these tea.The classification performance reveals fair,and the green tea samples could be classified clearly.This method is convenient and proper,which has great significance for the origin discrimination and standardization of tea.
Keywords:green tea  ICP-AES  mineral elements  CA  PCA
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号