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Discrimination of Beer Flavours by Analysis of Volatiles Using the Mass Spectrometer as an Electronic Nose
Author(s) -
Sikorska Ewa,
Chmielewski Jaroslaw,
Górecki Tomasz,
Khmelinskii Igor,
Sikorski Marek,
Keukeleire Denis
Publication year - 2007
Publication title -
journal of the institute of brewing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.523
H-Index - 51
eISSN - 2050-0416
pISSN - 0046-9750
DOI - 10.1002/j.2050-0416.2007.tb00264.x
Subject(s) - electronic nose , mass spectrometry , chromatography , chemistry , pattern recognition (psychology) , photodegradation , mass spectrum , artificial intelligence , food science , computer science , biochemistry , photocatalysis , catalysis
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 k NN, LDA, and D‐PLS methods.