Green tea: Authentication of geographic origin based on UHPLC-HRMS fingerprints

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Green tea: Authentication of geographic origin based on UHPLC-HRMS fingerprints

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Green tea: Authentication of geographic origin based on UHPLC-HRMS fingerprints

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10611 - Plant sciences, botany

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Food Composition and Analysis

ISSN

0889-1575

e-ISSN

—

Svazek periodika

78

Číslo periodika v rámci svazku

MAY 2019

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

121-128

Kód UT WoS článku

000462800800014

EID výsledku v databázi Scopus

2-s2.0-85061642500