Microsatellite fingerprinting and metabolite profiling for the geographical authentication of commercial green teas
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F21%3A10150317" target="_blank" >RIV/00027006:_____/21:10150317 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60461373:22330/21:43922716
Výsledek na webu
<a href="https://www.sciencedirect.com/journal/journal-of-food-composition-and-analysis/vol/101/suppl/C" target="_blank" >https://www.sciencedirect.com/journal/journal-of-food-composition-and-analysis/vol/101/suppl/C</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jfca.2021.103981" target="_blank" >10.1016/j.jfca.2021.103981</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Microsatellite fingerprinting and metabolite profiling for the geographical authentication of commercial green teas
Popis výsledku v původním jazyce
The authentication of geographical provenance is an important issue with respect to commercial tea products. Here, simple sequence repeat (SSR) fingerprinting and metabolite profiling were implemented to differentiate between 37 commercial green teas, produced in China, Japan and Korea. A set of 21 SSR assays detected 175 alleles, and a multiplex of three of these assays was sufficient to distinguish each of the samples. Metabolite profiling based on ultra-high performance liquid chromatography coupled with high resolution mass spectrometry detected features which proved to be correlated with a specific provenance. There was only a moderate level of correlation between the SSR and metabolite profiles. Such a level of correlation suggests that genotype, environment and post-harvest processing are all determinants of end-use quality. The two analytical approaches are complementary to one another, and are recommended to be used in conjunction.
Název v anglickém jazyce
Microsatellite fingerprinting and metabolite profiling for the geographical authentication of commercial green teas
Popis výsledku anglicky
The authentication of geographical provenance is an important issue with respect to commercial tea products. Here, simple sequence repeat (SSR) fingerprinting and metabolite profiling were implemented to differentiate between 37 commercial green teas, produced in China, Japan and Korea. A set of 21 SSR assays detected 175 alleles, and a multiplex of three of these assays was sufficient to distinguish each of the samples. Metabolite profiling based on ultra-high performance liquid chromatography coupled with high resolution mass spectrometry detected features which proved to be correlated with a specific provenance. There was only a moderate level of correlation between the SSR and metabolite profiles. Such a level of correlation suggests that genotype, environment and post-harvest processing are all determinants of end-use quality. The two analytical approaches are complementary to one another, and are recommended to be used in conjunction.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40402 - GM technology (crops and livestock), livestock cloning, marker assisted selection, diagnostics (DNA chips and biosensing devices for the early/accurate detection of diseases) biomass feedstock production technologies, biopharming
Návaznosti výsledku
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>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
ISSN
0889-1575
e-ISSN
—
Svazek periodika
101
Číslo periodika v rámci svazku
AUG 2021
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
103981
Kód UT WoS článku
000659097800012
EID výsledku v databázi Scopus
2-s2.0-85106459172