Classification of Juniper-Flavoured Spirit Drinks by Multivariate Analysis of Spectroscopic and Chromatographic Data
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This study compares the use of UV absorption, excitation–emission matrix (EEM) fluorescence and synchronous fluorescence spectroscopy and HPLC with fluorescence detection combined with principal component analysis (PCA), parallel factor analysis (PARAFAC) and linear discriminant analysis (LDA) for distinguishing between commercial samples of Slovak, Belgian, German, Czech and British juniper-flavoured spirit drinks. Overall, 97 %, 88 % and 79 % of samples were properly classified by applying the LDA to the first five principal components of the PCA performed on the synchronous fluorescence spectra (constant wavelength difference 10 nm, 250–450 nm), UV absorption spectra (250–325 nm) and the areas of eight common HPLC peaks, respectively. EEM fluorescence spectroscopy could not discriminate British drinks, while HPLC failed to discriminate Belgian samples. When the areas of eight common HPLC peaks were used as model parameters instead of the five PCs initially used in LDA, the method accuracy was enhanced significantly and 97 % of predicting samples were properly classified.
KeywordsBeverage Juniper drinks Fluorescence UV absorption spectroscopy HPLC Chemometrics
This work was supported by the Slovak Research and Development Agency under the contract no. APVV-0797-11.
Conflict of Interest
Jana Sádecká declares that she has no conflict of interest. Veronika Uríčková declares that she has no conflict of interest. Katarína Hroboňová declares that she has no conflict of interest. Pavel Májek declares that he has no conflict of interest. This article does not contain any studies with human or animal subjects.
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