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龙井茶香气成分的产区差异分析

  • 王梦琪 ,
  • 邵晨阳 ,
  • 朱荫 ,
  • 张悦 ,
  • 林智 ,
  • 吕海鹏
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  • 1. 农业部茶树生物学与资源利用重点实验室,中国农业科学院茶叶研究所,浙江 杭州 310008;
    2. 中国农业科学院研究生院,北京 100081;
    3. 河南茶叶工程技术研究中心,信阳农业科学院,河南 信阳 464000
王梦琪,女,硕士研究生,研究方向为茶叶加工品质化学。

收稿日期: 2018-01-02

  修回日期: 2018-03-10

  网络出版日期: 2019-10-15

基金资助

国家自然科学基金(31470694)、浙江省“三农六方”科技协作项目(CTZB-F150922AWZ-SNY1-14)、现代农业产业技术体系建设专项资金(CARS-23)、中国农业科学院创新工程(CAAS-ASTIP-2014-TRICAAS)

Aroma Constituents of Longjing Tea Produced in Different Areas

  • WANG Mengqi ,
  • SHAO Chenyang ,
  • ZHU Yin ,
  • ZHANG Yue ,
  • LIN Zhi ,
  • LYU Haipeng
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  • 1. Key Lab of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China;
    2. Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    3. Henan Tea Engineering Research Center, Xinyang City Academy of Agricultural Science, Xinyang 464000, China

Received date: 2018-01-02

  Revised date: 2018-03-10

  Online published: 2019-10-15

摘要

龙井茶是我国典型的地理标志茶类产品,其产地分为西湖产区、钱塘产区及越州产区3个产区。采用顶空固相微萃取-气相色谱-质谱(HS-SPME/GC-MS)联用技术,分析比较了西湖产区、钱塘产区及越州产区3个不同产区的一批次代表性龙井茶的香气成分组成特点及其相对含量水平等。结果表明,不同产区龙井茶的香气成分在化学组成上存在一些差异,分别从钱塘产区、越州产区、西湖产区的龙井茶样品中鉴定出了47种、45种和40种共同香气成分;此外,基于龙井茶香气成分的相对含量建立了1个PLS-DA模型(拟合参数为R2Y=0.885,Q2=0.777),可区分3个不同产地的龙井茶样品;通过数据处理软件查明了龙井茶中的12种关键香气成分在3个不同产区中的分布规律。

关键词: 龙井茶; 香气; 产区; 差异; 分析

本文引用格式

王梦琪 , 邵晨阳 , 朱荫 , 张悦 , 林智 , 吕海鹏 . 龙井茶香气成分的产区差异分析[J]. 茶叶科学, 2018 , 38(5) : 508 -517 . DOI: 10.13305/j.cnki.jts.2018.05.008

Abstract

Longjing tea is one of the most famous traditional tea and a typical product of geographical indication in China. In this study, the composition and relative contents of aroma components in a representative batch of Longjing tea samples of 3 different origins, namely Xihu region, Yuezhou region, and Qiantang region, were analyzed by headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME/GC-MS). Results showed that there were some differences in the composition of aroma components among the three different regions, and 47, 45 and 40 common aroma components were identified in the tea samples from Qiantang region, Yuezhou region, and Xihu region, respectively. Moreover, Longjing tea samples from three different regions had been distinguished successfully using PLS-DA model (fitting parameters: R2Y=0.885 and Q2=0.777) which was established basing on the relative contents of aroma components. The distributions of 12 key aroma components in different areas were elucidated by the data processing software.

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