Green tea: Authentication of geographic origin based on UHPLC-HRMS fingerprints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F19%3A43918769" target="_blank" >RIV/60461373:22330/19:43918769 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0889157518311505?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0889157518311505?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jfca.2019.02.004" target="_blank" >10.1016/j.jfca.2019.02.004</a>
Alternative languages
Result language
angličtina
Original language name
Green tea: Authentication of geographic origin based on UHPLC-HRMS fingerprints
Original language description
The quality of green tea is influenced by many factors, geographic origin being one of high importance, as this parameter is typically associated with tea quality grade. However, in some cases, fraudulent practices such as mislabelling of geographic origin may take place. In this pilot study, aimed at green tea authentication, we investigated whether metabolic fingerprinting based on ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC–HRMS) enables sample classification to be achieved. In total, 54 authentic samples of green tea originating from China (n = 29), Japan (n = 17) and South Korea (n = 8) were available for experiments. To isolate even less polar metabolites, a dichloromethane/methanol (1:1. v/v) mixture was used for extraction. The data generated by the analysis of green tea extracts were processed by both unsupervised and supervised chemometric methods. The resulting predictive models document the applicability of this approach for green tea classification based on geographic origin. © 2019 Elsevier Inc.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Food Composition and Analysis
ISSN
0889-1575
e-ISSN
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Volume of the periodical
78
Issue of the periodical within the volume
MAY 2019
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
121-128
UT code for WoS article
000462800800014
EID of the result in the Scopus database
2-s2.0-85061642500