Authentication of Trappist beers by LC-MS fingerprints and multivariate data analysis.
The aim of this study was to asses the applicability of LC-MS profiling to authenticate a selected Trappist beer as part of a program on traceability funded by the European Commission. A total of 232 beers were fingerprinted and classified through multivariate data analysis. The selected beer was clearly distinguished from beers of different brands, while only 3 samples (3.5% of the test set) were wrongly classified when compared with other types of beer of the same Trappist brewery. The fingerprints were further analyzed to extract the most discriminating variables, which proved to be sufficient for classification, even using a simplified unsupervised model. This reduced fingerprint allowed us to study the influence of batch-to-batch variability on the classification model. Our results can easily be applied to different matrices and they confirmed the effectiveness of LC-MS profiling in combination with multivariate data analysis for the characterization of food products.
European Commission, Joint Research Centre, Institute for the Health and Consumer Protection, Systems Toxicology Unit, via Fermi 1, 21027 Ispra, Italy.
Elia
E
Mattarucchi
Matteo
M
Stocchero
José Manuel
JM
Moreno-Rojas
Giuseppe
G
Giordano
Fabiano
F
Reniero
Claude
C
Guillou
D001515:Beer / Q000032:analysis*; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D005506:Food Contamination / Q000032:analysis*; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*