A new method for classification of wines based on proton and carbon-13 NMR spectroscopy in combination with pattern recognition techniques
article
Proton and carbon-13 nuclear magnetic resonance (NMR) spectroscopic methods were applied in the differentiation of 53 German white wines from the regions Rheinhessen, Rheingau and Mosel-Saar-Ruwer. The robustness of these differentiations was tested by leaving out one sample at a time and replacing it into the set as a test sample. Small variations in the position of the lines in the spectra, which lowered the classification ability of the tested systems, were successfully eliminated using a novel data pre-processing algorithm called partial linear fit.
TNO Identifier
184279
ISSN
09255281
Source
Chemometrics and Intelligent Laboratory Systems: Laboratory Information Management, 21(2-3), pp. 249-258.
Pages
249-258
Files
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