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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

21101 - Food and beverages

Project

<a href="/en/project/LO1211" target="_blank" >LO1211: Materials Research Centre at FCH BUT- Sustainability and Development</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Name of the periodical

JOURNAL OF ELEMENTOLOGY

ISSN

1644-2296

e-ISSN

—

Volume of the periodical

23

Issue of the periodical within the volume

2

Country of publishing house

PL - POLAND

Number of pages

19

Pages from-to

709-727

UT code for WoS article

000437430400025

EID of the result in the Scopus database

2-s2.0-85044425320