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Distinguishing between juniper-flavoured spirit drinks from different producers

Distinguishing between juniper-flavoured spirit drinks from different producers AbstractA simple method for classifying juniper-flavoured spirit drinks is proposed based on the ratio of fluorescence intensity values in synchronous fluorescence spectra. Receiver operating curves (ROC) and linear discriminant analysis (LDA) were used to compute the performance of the classification. Significant differences in the fluorescence intensity ratios (I316/I287 and I324/I287) observed in the spectra recorded using wavelength difference 10 nm were evaluated by ROC analysis to identify cutoff values that gave ideal AUCs equal to one, thus allowing for 100% correct classification of the samples according to producer criteria. LDA showed that drinks of different producers could be distinguished (100% correct classification) on the basis of their differences in the fluorescence intensity ratios (I323/I287, I324/I287, I316/I287 and I325/I287). These results show that complete synchronous spectra are not required to discriminate between producers. Instead of them, fluorescence intensity could be measured at selected wavelengths. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nova Biotechnologica et Chimica de Gruyter

Distinguishing between juniper-flavoured spirit drinks from different producers

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Publisher
de Gruyter
Copyright
© 2017 Veronika Uríčková et al., published by De Gruyter Open
ISSN
1338-6905
eISSN
1338-6905
DOI
10.1515/nbec-2017-0018
Publisher site
See Article on Publisher Site

Abstract

AbstractA simple method for classifying juniper-flavoured spirit drinks is proposed based on the ratio of fluorescence intensity values in synchronous fluorescence spectra. Receiver operating curves (ROC) and linear discriminant analysis (LDA) were used to compute the performance of the classification. Significant differences in the fluorescence intensity ratios (I316/I287 and I324/I287) observed in the spectra recorded using wavelength difference 10 nm were evaluated by ROC analysis to identify cutoff values that gave ideal AUCs equal to one, thus allowing for 100% correct classification of the samples according to producer criteria. LDA showed that drinks of different producers could be distinguished (100% correct classification) on the basis of their differences in the fluorescence intensity ratios (I323/I287, I324/I287, I316/I287 and I325/I287). These results show that complete synchronous spectra are not required to discriminate between producers. Instead of them, fluorescence intensity could be measured at selected wavelengths.

Journal

Nova Biotechnologica et Chimicade Gruyter

Published: Dec 1, 2017

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