Discrimination and quantification of volatile compounds in beer by FTIR combined with machine learning approaches
The composition of volatile compounds in beer is crucial to the quality of beer. Herein, we identified 23 volatile compounds, namely, 12 esters, 4 alcohols, 5 acids, and 2 phenols, in nine different beer types using GC–MS. By performing PCA of the data of the flavor compounds, the different beer typ...
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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2024-06-01
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| Edice: | Food Chemistry: X |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2590157524001871 |
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