Abstract

Journal of Near Infrared Spectroscopy
Volume 17 Issue 3, Pages 159–164 (2009)
doi: 10.1255/jnirs.837

Short communication: Identification of geographical indication tea with Fisher’s discriminant classification and principal components analysis

Jian Zhou,^a,* Hao Cheng,^a,* Wei He,^b Liyuan Wang,^a Xu Liu^a and Wenyuan Lu^a
aResearch Center for Tea Germplasm and Improvement, Tea Research Institute, Chinese Academy of Agriculture Science, National Center for Tea Improvement, Hangzhou 310008, China. E-mail: zjph263@126.com Chenghao@mail.tricaas.com
^bNanjing Agricultural University, Nanjing 210095, China

This study attempted to identify authentic geographical indication tea using near infrared (NIR) spectroscopy with a combination of Fisher’s discriminant classification and principal components analysis (PCA). This rapid and accurate NIR- based approach has shown an accuracy rate for identifying the indication tea equal to 96.7% in a training set, 95.3% using cross-validation and 96.7% in a test set. The overall results suggest that the combination of NIR spectroscopy with Fisher’s discriminant classification with PCA could be successfully applied as a rapid and reliable way to identify geographical indication tea.

Keywords: near infrared spectroscopy, geographical indication tea, recognition, principal components, Fishers discriminant classification

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