Scientists at Kuban State University (KubSU) have developed a methodology that accurately determines the geographical origin and quality of wine based on its chemical composition. This innovation will increase the authenticity of wine products, create new opportunities for research, and help combat counterfeiting in the market.
A key achievement is the methodology for assessing the wine's belonging to a specific geographical area based on a multi-element profile and related sensory characteristics. Analysis of soil, berry, and wine samples from different regions revealed marker elements indicating the regional and varietal specificity of white and red dry wines of the Krasnodar Territory.
The method is based on the elemental "fingerprint" of the wine — a profile of dozens of chemical elements (lithium, uranium, etc.) that migrate from the soil into the vine. A highly sensitive mass spectrometer is used for the analysis, forming a unique "elemental signature" of the region.
Researchers have created a database of elemental profiles of Russian wine-growing areas and use multidimensional analysis with artificial intelligence technologies, including neural networks. This allows confirming or refuting the origin of wine with an accuracy of over 95%.
Experts added that a mobile application based on neural network modeling checks the compliance of the elemental composition with the region. With its help, it is possible to confirm the authenticity of the wine with high accuracy or identify inconsistencies with the declared origin. Scientists are confident that such a system will increase consumer confidence in Russian wines and protect them from fakes.
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