Algorithm distinguishes “where it takes” the wine



Scientists based at the University of Adelaide in Australia have developed a fast and effective method to automatically identify the origin of wine varieties. This achievement could help tackle fraud where cheap wines are “christened” as better quality wines. Combining two precision techniques. in the first phase it combines two techniques: mass spectrometry, which identifies the different chemical components of wine, and fluorescence spectroscopy, a technique in which a ray of light, usually ultraviolet, excites the electrons of specific compounds in a solution, causing light to be released. “This method gives us a ‘footprint’ of the samples which is based on the existence of compounds whose electrons emit light when excited,” said in a statement the doctoral student and first author of the publication Rahira Ranaguera. Giving wine‚Ķ to the algorithm The data obtained from the combination of the two techniques were processed by an algorithm, which compares the chemical imprint of the sample with the chemical imprint of wines of known origin. The results were very encouraging: the algorithm successfully detected up to 100% the origin of the samples, which consisted of the Cabernet Sauvignon wine variety of either Australian or French origin. “By combining analysis techniques with a machine learning algorithm, we have been able to develop an effective method for identifying wines,” said the researchers. “This method can be a valuable tool in the hands of control mechanisms for identifying orthodoxy.” of wine labels and to detect cases of fraud, a practice that is very common in both Australia and other countries. Follow it on Google News and be the first to know all the news See all the latest news from Greece and the world, in the



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