Discrimination Based on Volatile Compounds and Differential Analysis of Chinese Dark Tea

Hua-Feng He and Yang Ye

Journal of Agricultural Science, 2016, vol. 8, issue 9, 115

Abstract: Simultaneous distillion and extraction (SDE)/gas chromatographymass spectrometry (Gc-Ms) detection coupled with partial least squares-discriminate analysis (PLS-DA) were used to discriminate Chinese dark teas (CDTs). A total of 84 volatile compounds were taken to conduct the cluster analysis. 9 kinds of CDTs could be divided into 3 groups in consistent with the manufacturing processes. Besides, ingredients that were related with the quality of CDT, such as free amino acid, soluble sugar and catechines were analyzed. Differential trends were disclosed between Pu-Er raw tea and Pu-Er ripe tea as well as raw dark green tea (RDGT).

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/jas/article/download/60806/33347 (application/pdf)
https://ccsenet.org/journal/index.php/jas/article/view/60806 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:jasjnl:v:8:y:2016:i:9:p:115

Access Statistics for this article

More articles in Journal of Agricultural Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().