Discrimination of beer flavours by analysis of volatiles using the mass spectrometer as an electronic nose

Sikorska, Ewa; Chmielewski, Jaroslaw; Gorecki, Tomasz; Khmelinskii, Igor; Sikorski, Marek; De Keukeleire, Denis

http://hdl.handle.net/10400.1/12118

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Authors

Sikorska, Ewa

Chmielewski, Jaroslaw

Abstract(s)

Entire mass spectra of beer headspace components were used as fingerprints for beer brand classification and differentiation of beer samples stored under various conditions. Chemometric analysis of the mass spectra allowed for the discrimination of beer brands and for the detection of beer aging and photodegradation. The numeric methods used include unsupervised PCA modelling and discrimination using kappa NN, LDA, and D-PLS methods.