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Tracing the origin of beer samples by NMR and chemometrics: Trappist beers as a case study

Articolo
Data di Pubblicazione:
2016
Abstract:
An NMR and chemometric analytical approach to classify beers according to their brand identity was developed within the European TRACE project (FP6-2003-FOOD-2-A, contract number: 0060942). Rochefort 8 Trappist beers (47 samples), other Trappist beers (76 samples) and non-Trappist beers (110 samples) were analyzed by H-1 NMR spectroscopy. Selected NMR signals were measured and used to build classification models. Three different classification problems were identified, namely Trappist versus non-Trappist, Rochefort versus Non-Rochefort, and Rochefort 8 versus non-Rochefort 8. In all the three cases, both a discriminant and a modeling approaches were followed, using partial least squares discriminant analysis (PLS-DA) and soft independent modeling of class analogies (SIMCA), respectively, leading to very high classification accuracy as evaluated by external validation. Information regarding chemical composition was also obtained: Trappist beers contain a higher amount of formic and pyruvic acids and a lower amount of acetic acid and alanine with respect to non-Trappist ones. Rochefort beers turned out to have also a higher content of propanol and isopentanol with respect to non-Rochefort samples. Finally, Rochefort 8, shows the highest content of pyruvic acid and the lowest content of gallic, fumaric, acetic acids, adenosine, uridine, 2-phenylethanol, GABA, and alanine.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Beer authentication; Nuclear magnetic resonance; Partial least squares discriminant analysis; Soft independent modeling of class analogies; Trappist beer
Elenco autori:
Sobolev, Anatoly; Capitani, Donatella
Autori di Ateneo:
SOBOLEV ANATOLY
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/332254
Pubblicato in:
ELECTROPHORESIS (WEINH., PRINT)
Journal
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