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NIR spectroscopy coupled with chemometrics as a tool for quality analysis of beer samples

 

 

 

Key words: 

beer, NIR, spectroscopy, Principal Component Analysis (PCA), Particular Least Squares Analysis (PLS)

Summary

The aim of this paper was to distinguish samples and the evaluation of the percentage content of ethanol in beer. Beer samples have been subjected to NIR at a broad range of wavenumbers (12500-4000 cm-1).  A Principal Component Analysis (PCA) performed on the near infrared spectra allowed to define distinctive groups of beers based of their types and alcohol content. The regression analysis using the Partial Least Squares (PLS) method was applied  to examine the correlation between the content of ethanol in beer and the respective spectra. Obtained model predicted the concentration in an accuracy of 0,36%. The results indicate that the NIR spectroscopy offers a promising approach for quality evaluation of beer. 

Krzysztof WÓJCICKI

Poznań University of Economics and Business Faculty of Commodity Science  Department of Technology and Instrumental Analysis  al. Niepodległości 10, 61-875 Poznań, Poland e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 

 

 

 

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