Abstract
Samples of commercial and authentic [authentic samples are samples produced under microvinification conditions (see Schlesier et al. Eur Food Res Technol, 2009)] wines were collected from four countries (Hungary, Czech Republic, Romania, and South Africa) and three different vintages. They were analyzed for 63 chemical parameters in the context of the European project "Establishing of a wine data bank for analytical parameters from Third Countries". The aim of the project was to apply multivariate classification techniques to determine the country of origin of wines based on their chemical content. Moreover, it was important to evaluate whether models built for authentic samples can be used to discriminate commercial samples. Here we report on the descriptive and exploratory data analysis and discuss the univariate statistical results. These indicate that South African wines are easily discriminated from the other countries on the basis of a single isotopic ratio such as Ethanol(D/H)1. The discrimination of the European countries and especially the separation between Hungarian and Czech wines is less straightforward.
Original language | English |
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Pages (from-to) | 15-29 |
Number of pages | 15 |
Journal | European Food Research and Technology |
Volume | 230 |
Issue number | 1 |
DOIs | |
Publication status | Published - 01 Oct 2009 |
Externally published | Yes |
Keywords
- Authenticity
- Geographical origin
- Univariate statistics
- Wine
ASJC Scopus subject areas
- Biotechnology
- Food Science
- General Chemistry
- Biochemistry
- Industrial and Manufacturing Engineering