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基于HPLC和模式识别方法的福建水仙茶产地判别分析

邱晓红 张丹丹 陈静 王鹏杰 杨国一 王丽 郑德勇 叶乃兴

福建农林大学学报(自然科学版)2017,Vol.46Issue(3):260-264,5.
福建农林大学学报(自然科学版)2017,Vol.46Issue(3):260-264,5.DOI:10.13323/j.cnki.j.fafu(nat.sci.).2017.03.005

基于HPLC和模式识别方法的福建水仙茶产地判别分析

Discriminant analysis of Fujian Shuixian tea based on HPLC and pattern recognition method

邱晓红 1张丹丹 1陈静 1王鹏杰 1杨国一 1王丽 2郑德勇 1叶乃兴1

作者信息

  • 1. 福建农林大学园艺学院/茶学福建省高校重点实验室,福建 福州350002
  • 2. 武夷学院茶与食品学院,福建 武夷山354300
  • 折叠

摘要

Abstract

In order to distinguish different places of origin of Shuixian tea, catechins and alkaloid contents of 170 tea samples, in-cluding Wuyi Shuixian, Jianyang Shuixian, Jianou Shuixian and Yongchun Shuixian, were analyzed by HPLC. Simultaneously, dis-criminant analysis was performed using PCA, FDA, KNN and PLS-DA methods. The results showed that total alkaloids and ester-type catechin in the gallocatechin gallate ( GCG) of Wuyi Shuixian, Jianyang Shuixian and Jianou Shuixian catechins were signifi-cantly higher than those in Yongchun Shuixian, while other ester catechins, simple tea catechin epicatechin ( EC) , and table epi-gallocatechin ( EGC) were lower than those in Yongchun Shuixian. FDA discriminant model proved to be the best model for analysis based on catechins and alkaloid contents, with correct discrimination rates of Wuyi Shuixian, Jianyang Shuixian, Jianou Shuixian and Yongchun Shuixian being 96.0%, 100%, 100% and 100% respectively and accuracy being 98.8%. To summarize, FDA dis-criminative model based on catechins and alkaloid contents is highly applicable to identify place of origin with high accuracy.

关键词

福建水仙/乌龙茶/产地/儿茶素/生物碱/模式识别

Key words

Camellia sinensis cv. Fujan Shuixian/Oolong tea/place of origin/catechin component/alkaloids/pattern recognition

分类

农业科技

引用本文复制引用

邱晓红,张丹丹,陈静,王鹏杰,杨国一,王丽,郑德勇,叶乃兴..基于HPLC和模式识别方法的福建水仙茶产地判别分析[J].福建农林大学学报(自然科学版),2017,46(3):260-264,5.

基金项目

国家自然科学基金资助项目(31270735) (31270735)

福建省"2011协同创新中心"专项资助项目(闽教科〔2015〕75号) (闽教科〔2015〕75号)

福建茶产业农技推广服务试点建设资助项目( KNJ-151001) . ( KNJ-151001)

福建农林大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1671-5470

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