A study published on Tuesday in the journal Nature Communications Chemistry revealed that a new algorithm was able to correctly identify which chateau red Bordeaux wines were from with 100 percent accuracy by analyzing their chemical profiles. This research has implications for both determining the quality of a wine as well as its authenticity, with a potential application for detecting wine fraud.
The study was conducted by Alexandre Pouget at the University of Geneva, Switzerland, where he and his colleagues used machine learning to analyze the chemical composition of 80 red wines, from vintages ranging from 1990 to 2007 from seven estates in Bordeaux.
