CLC number: Q946.91+4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2012-09-10
Cited: 4
Clicked: 4756
Long Zhang, Jia-rong Pan, Cheng Zhu. Determination of the geographical origin of Chinese teas based on stable carbon and nitrogen isotope ratios[J]. Journal of Zhejiang University Science B, 2012, 13(10): 824-830.
@article{title="Determination of the geographical origin of Chinese teas based on stable carbon and nitrogen isotope ratios",
author="Long Zhang, Jia-rong Pan, Cheng Zhu",
journal="Journal of Zhejiang University Science B",
volume="13",
number="10",
pages="824-830",
year="2012",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1200046"
}
%0 Journal Article
%T Determination of the geographical origin of Chinese teas based on stable carbon and nitrogen isotope ratios
%A Long Zhang
%A Jia-rong Pan
%A Cheng Zhu
%J Journal of Zhejiang University SCIENCE B
%V 13
%N 10
%P 824-830
%@ 1673-1581
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1200046
TY - JOUR
T1 - Determination of the geographical origin of Chinese teas based on stable carbon and nitrogen isotope ratios
A1 - Long Zhang
A1 - Jia-rong Pan
A1 - Cheng Zhu
J0 - Journal of Zhejiang University Science B
VL - 13
IS - 10
SP - 824
EP - 830
%@ 1673-1581
Y1 - 2012
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1200046
Abstract: The objective of this study was to investigate the geographical origin of Chinese teas using carbon and nitrogen stable isotope ratio technology. The results showed that inter-provincial dispersion of teas in Guangdong (GD), Guangxi (GX), Hainan (HA), Fujian (FJ), Shandong (SD), Sichuan (SC), Chongqing (CQ), and Henan (HN) provinces was high, while in Zhejiang (ZJ), Hubei (HB), Yunnan (YN), and Anhui (AH) provinces, it was low. tea samples from GD, GX, HA, and FJ provinces were clustered in one group and separated from those from AH and HB provinces. Thus, carbon and nitrogen stable isotope ratio technology could discriminate teas from among some provinces of China, but not from among others. Better separation might be obtained with a combination of isotopic ratios and other indexes, such as elemental data and organic components.
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