HUBEI AGRICULTURAL SCIENCES ›› 2018, Vol. 57 ›› Issue (20): 97-100.doi: 10.14088/j.cnki.issn0439-8114.2018.20.022

• Horticulture & Local Products • Previous Articles     Next Articles

Application of Mean Vector Test in Tea Identification in Different Regions

ZHOU Qiao-yi, LING Cai-jing, LIU Shu-mei, WANG Qiu-shuang   

  1. Tea Research Institute,Guangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Tea Plant Resources Innovation & Utilization,Guangzhou 510640,China
  • Received:2018-05-15 Published:2018-10-25

Abstract: The contents of Ca,Mg,Fe,Mn,Zn and Cu in the samples from Qingyuan city,Meizhou city and Heyuan city in Hubei province were determined by atomic absorption spectrometry. The contents of water,dry matter,water extract,tea polyphenols,amino acids and soluble sugar in tea samples were determined by national standard method. The difference of mineral elements and biochemical components in tea leaves was analyzed by multi population mean value vector test. The results showed that the contents of mineral elements or biochemical components in some tea leaves were significantly different.

Key words: tea, region, mineral element, multiple population mean vector test

CLC Number: