Document Detail


Discrimination of the Production Season of Chinese Green Tea by Chemical Analysis in Combination with Supervised Pattern Recognition.
MedLine Citation:
PMID:  22720840     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
High-performance liquid chromatography (HPLC) has been used to quantify levels of free amino acids, catechins and caffeine in Chinese green tea. Levels of free amino acids and catechins in green-tea leaves show obvious variation from spring to summer, which is useful information to identify the production seasons of commercial green tea. Supervised pattern-recognition methods such as the K-nearest neighbor (KNN) method and Bayesian discriminant method (a type of linear discriminant analysis (LDA)) were used to discriminate between the production seasons of Chinese green tea. The optimal accuracy of the KNN method was ≤97.61% and ≤94.80% as validated by re-substitution and cross-validation tests, respectively, and that of LDA was ≤95.22% and ≤93.54%, respectively. Compared with LDA, the KNN method did not require a Gaussian distribution and was more accurate than LDA. The KNN method in combination with chemical analysis is recommended for discrimination of the production seasons of Chinese green tea.
Authors:
Wenpin Xu; Qiushuang Song; Daxiang Li; Xiaochun Wan
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-21
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  -     ISSN:  1520-5118     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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