Phenolic Profile in Czech White Wines from Different Terroirs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43510%2F12%3A00193383" target="_blank" >RIV/62156489:43510/12:00193383 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Phenolic Profile in Czech White Wines from Different Terroirs

Popis výsledku v původním jazyce

Grapevine cv. Riesling is a traditional variety of cool climate viticulture regions to which the Czech Republic belongs too. In total 35 wine samples from 9 different terroirs of wine growing regions in the Czech Republic were evaluated for the content of 20 phenolic compounds comprising hydroxybenzoic acids, hydroxycinnamates, stilbenes, and flavan 3 ols. Phenolic compounds were evaluated by an HPLC method. Methods of multivariate statistical analysis were used to discriminate wine samples on the basisof their geographical origin. Canonical variate analysis proved that it is possible to differentiate wines according to their geographical origin by following authenticity markers: gallic acid, caffeic acid, caftartic acid, p coutaric acid, ferulic acidethylester, p coumaric acid ethylester, catechin, and epicatechin. On the basis of statistical analyses, 100% wine samples were correctly classified. The results indicate that, for the case of white wines, mainly hydroxycinnamates and fl

Název v anglickém jazyce

Phenolic Profile in Czech White Wines from Different Terroirs

Popis výsledku anglicky

Grapevine cv. Riesling is a traditional variety of cool climate viticulture regions to which the Czech Republic belongs too. In total 35 wine samples from 9 different terroirs of wine growing regions in the Czech Republic were evaluated for the content of 20 phenolic compounds comprising hydroxybenzoic acids, hydroxycinnamates, stilbenes, and flavan 3 ols. Phenolic compounds were evaluated by an HPLC method. Methods of multivariate statistical analysis were used to discriminate wine samples on the basisof their geographical origin. Canonical variate analysis proved that it is possible to differentiate wines according to their geographical origin by following authenticity markers: gallic acid, caffeic acid, caftartic acid, p coutaric acid, ferulic acidethylester, p coumaric acid ethylester, catechin, and epicatechin. On the basis of statistical analyses, 100% wine samples were correctly classified. The results indicate that, for the case of white wines, mainly hydroxycinnamates and fl

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CB - Analytická chemie, separace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Food Science and Biotechnology

ISSN

1226-7708

e-ISSN

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Svazek periodika

21

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

9

Strana od-do

1593-1601

Kód UT WoS článku

313078600012

EID výsledku v databázi Scopus

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