Elemental analysis as a tool for classification of Czech white wines with respect to grape varieties

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26310%2F18%3APU127061" target="_blank" >RIV/00216305:26310/18:PU127061 - isvavai.cz</a>

Výsledek na webu

<a href="http://jsite.uwm.edu.pl/articles/view/1379/" target="_blank" >http://jsite.uwm.edu.pl/articles/view/1379/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5601/jelem.2017.22.4.1379" target="_blank" >10.5601/jelem.2017.22.4.1379</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Elemental analysis as a tool for classification of Czech white wines with respect to grape varieties

Popis výsledku v původním jazyce

The proportion of adulterated wines on the market is globally rising and this trend is also visible in the Czech Republic. The control authorities are confronted with an increasing number of cases of adulterated wine. The characteristic feature of wine growing in the Czech Republic is the use of a diverse spectrum of the wine cultivars. A varietal authenticity verification of wine is, beside the verification of geographic origin, the toughest challenge for analytical chemists and control laboratories. The aim of this study was the evaluation of possibilities of discrimination and classification of Moravian varietal wines based on elemental composition data. Important objective was to find the variables in elemental composition which are strongly associated with a particular variety. Testing was performed on three popular and often growned varieties (Rhine Riesling, Müller-Thurgau and Green Veltliner). Analysis of wine samples was carried out by the combination of ICP-MS and ICP-OES methods. Experimental data were evaluated by univariate and multivariate statistical techniques such as analysis of variance, principal component analysis and discriminant analysis. Statistically significant discriminant fuctions and predictive functions were constructed by the method of canonical discriminant analysis. These fuctions were based on elemental composition parameters Al, Sn, Gd, Tb, Tm/Yb, Yb/Lu, Mo/Sn, Mn/Cr. Created model was able to classify known varietal wines with succes rate of 95.83 %. A predictive capability of the model was finally tested by cross validation method. Classification effectivity for the unknown samples was determined to 70.83 %. Results from this study proved, that presented wine varietal authentification approach is promissing for interregional varietal wine discrimination.

Název v anglickém jazyce

Elemental analysis as a tool for classification of Czech white wines with respect to grape varieties

Popis výsledku anglicky

The proportion of adulterated wines on the market is globally rising and this trend is also visible in the Czech Republic. The control authorities are confronted with an increasing number of cases of adulterated wine. The characteristic feature of wine growing in the Czech Republic is the use of a diverse spectrum of the wine cultivars. A varietal authenticity verification of wine is, beside the verification of geographic origin, the toughest challenge for analytical chemists and control laboratories. The aim of this study was the evaluation of possibilities of discrimination and classification of Moravian varietal wines based on elemental composition data. Important objective was to find the variables in elemental composition which are strongly associated with a particular variety. Testing was performed on three popular and often growned varieties (Rhine Riesling, Müller-Thurgau and Green Veltliner). Analysis of wine samples was carried out by the combination of ICP-MS and ICP-OES methods. Experimental data were evaluated by univariate and multivariate statistical techniques such as analysis of variance, principal component analysis and discriminant analysis. Statistically significant discriminant fuctions and predictive functions were constructed by the method of canonical discriminant analysis. These fuctions were based on elemental composition parameters Al, Sn, Gd, Tb, Tm/Yb, Yb/Lu, Mo/Sn, Mn/Cr. Created model was able to classify known varietal wines with succes rate of 95.83 %. A predictive capability of the model was finally tested by cross validation method. Classification effectivity for the unknown samples was determined to 70.83 %. Results from this study proved, that presented wine varietal authentification approach is promissing for interregional varietal wine discrimination.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21101 - Food and beverages

Projekt

<a href="/cs/project/LO1211" target="_blank" >LO1211: Centrum materiálového výzkumu na FCH VUT v Brně - udržitelnost a rozvoj</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

JOURNAL OF ELEMENTOLOGY

ISSN

1644-2296

e-ISSN

—

Svazek periodika

23

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

19

Strana od-do

709-727

Kód UT WoS článku

000437430400025

EID výsledku v databázi Scopus

2-s2.0-85044425320