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Journal of Tea Science ›› 2008, Vol. 28 ›› Issue (2): 83-88.doi: 10.13305/j.cnki.jts.2008.02.003

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Discriminant Classification of Production Area of Flatten-shaped Green Tea Based on Multiple Chemical Fingerprint

CHENG Hao, WANG Li-yuan, ZHOU Jian, YE Yang, LIU Xu, LU Wen-yuan   

  1. Research Center for Tea Germplasm and Improvement, Tea Research Institute Chinese Academy of Agricultural Sciences (TRICAAS), National Center for Tea Improvement, Hangzhou 310008, China
  • Received:2007-10-12 Revised:2008-01-15 Online:2008-04-15 Published:2019-09-16

Abstract: The method of Discriminanting Classification of Flatten-shaped Green Tea Production Area Based on Multiple Chemical Fingerprint was studied by way of using samples from single cultivar and from mixed cultivars, with three groups of samples produced in West Lake District Hangzhou, Xinchang County Shaoxin and Lishui respectively. The result showed that samples from three district could be distinguished effectively by using those discriminant method obtained form the investigation, whether single cultivar samples or mixed cultivar samples were used. The recognition accuracies of the training sample set and the test sample set were all 100% except one Yingshuang cultivar test sample. When using mixed samples of 9 cultivars, the recognition accuracy of the training sample set 143 samples was 93.7% and that the test sample set was 91.7%. Those above result revealed that it was possible to distinguish or verify the producing area attribute of flatten-shaped green tea products by combining the techniques of multiple chemical fingerprint and discriminant classification.

Key words: green tea, chemical fingerprint, discriminant analysis, producing area

CLC Number: