Scientists Identify Wines Based On Their Chemical Fingerprint

(MENAFN- Swissinfo) 日本語 (ja) ワインの「指紋」からワインの産地を特定 ジュネーブ大

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According to the university, this technology could help to prevent wine counterfeiting.

The researchers have succeeded in identifying red wine by applying artificial intelligence (AI) to existing data. As they showed in a study in the journal Communications Chemistry, 80 wines from seven wineries in Bordeaux, France, and with 12 different vintages (1999-2007) could be identified with an accuracy of 100%.

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The AI recognises patterns in the complex mixture of thousands of molecules that make up each wine. The concentrations of these molecules vary from wine to wine. They can be influenced by the smallest differences, such as the grape variety, the nature of the soil on which the grapes were grown or the winemakers' working methods. This creates a kind of chemical fingerprint for each wine.

'Needle in a haystack'

Recognising differences between different wines in these fingerprints, the chemical signature, is like looking for a needle in a haystack, explained study author Alexandre Pouget from the University of Geneva in the press release. According to the researchers, a so-called chromatogram, a chemical analysis of a wine, consists of up to 30,000 different points.

Using AI, the research team from the University of Geneva, together with researchers from the University of Bordeaux, was able to analyse the entire chromatogram of wines and display it in a diagram with two axes.

The diagram then showed clouds of dots, as the researchers explained in the press release. Each of these clouds grouped different vintages of wines from a particular vineyard based on their chemical similarities.

“This allowed us to show that each winery has its own chemical signature,” said co-author Stéphanie Marchand from the University of Bordeaux. In their analyses, the researchers also discovered that the chemical identity of these wines is not determined by the concentration of a few specific molecules, but by a broad chemical spectrum.

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