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

被引：11
|
作者：
Zhou, Jian [1 ]
Cheng, Hao [1 ]
He, Wei [2 ]
Wang, Liyuan [1 ]
Liu, Xu [1 ]
Lu, Wenyuan [1 ]
机构：
[1] Chinese Acad Agr Sci, Natl Ctr Tea Improvement, Tea Res Inst, Res Ctr Tea Germplasm & Improvement, Hangzhou 310008, Zhejiang, Peoples R China
[2] Nanjing Agr Univ, Nanjing 210095, Peoples R China
来源：
JOURNAL OF NEAR INFRARED SPECTROSCOPY | 2009年 / 17卷 / 03期
关键词：
near infrared spectroscopy; geographical indication tea; recognition; principal components; Fisher's discriminant classification; NEAR-INFRARED SPECTROSCOPY; GREEN TEA; REFLECTANCE SPECTROSCOPY; FEASIBILITY;
D O I：
10.1255/jnirs.837
中图分类号：
O69 [应用化学];
学科分类号：
081704 ;
摘要：
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 geographical 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.
引用
收藏
页码：159 / 164
页数：6
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