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Together with colleagues from the Nello Carrara Institute of Applied Physics (IFAC) at CNR, B-PHOT researchers have demonstrated that diffuse-light spectroscopy combined with multivariate data analysis can be effective in classifying beers according to their main distinguishing attributes, such as the alcohol content, the type of beer, and its country of origin. As such this method for monitoring beers can provide the most important quality indicators during production, as well as for authentication in food fraud prevention.
To find out more about the publication visit http://spie.org/x92023.xml
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