A NEW METHOD FOR CLASSIFICATION OF WINES BASED ON PROTON AND C-13 NMR-SPECTROSCOPY IN COMBINATION WITH PATTERN-RECOGNITION TECHNIQUES

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.