Artificial Enhancers
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Scientists recently employed artificial intelligence (AI) to refine the flavors of Belgian beers and enhance their quality, the Guardian reported, attempting to dissect the intricate relationships that motivate human aroma perception.
In their paper, lead researcher Kevin Verstrepen and his team analyzed the chemical composition of 250 Belgian beers spanning 22 styles, including lagers, fruit beers and non-alcoholic brews.
This analysis included properties, such as alcohol content, pH levels, sugar concentration, and more than 200 flavor compounds. A tasting panel of 16 participants then evaluated the brews for 50 attributes over a three-year period. At the same time, the team also collected 180,000 online consumer reviews of different beers.
Using machine learning, the researchers constructed models to predict beer taste and appreciation based on its composition. These models were then utilized to improve commercial beers by incorporating substances identified as key predictors of appreciation, such as lactic acid and glycerol.
Results from the tasting panel indicated an improvement in ratings across various metrics for both alcoholic and non-alcoholic beers, including sweetness, body, and overall appreciation.
Although the AI models have limitations and were based on datasets of high-quality commercial brews, the authors suggested that their application could significantly benefit non-alcoholic beers.
Meanwhile, Verstrepen emphasized that while AI can predict chemical changes to optimize beer, it would not threaten rich traditions in beer making, emphasizing that the expertise of brewers is essential.
“The AI models predict the chemical changes that could optimize a beer, but it is still up to brewers to make that happen, starting from the recipe and brewing methods,” he said.
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