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Geographical classification of Chinese Cabernet Sauvignon wines by data fusion of ultraviolet–visible and synchronous fluorescence spectroscopies: the combined use of multiple wavelength differences
Author(s) -
Tan J.,
Li R.,
Jiang Z.T.,
Zhang Y.,
Hou Y.M.,
Wang Y.R.,
Wu X.,
Gong L.
Publication year - 2016
Publication title -
australian journal of grape and wine research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 77
eISSN - 1755-0238
pISSN - 1322-7130
DOI - 10.1111/ajgw.12214
Subject(s) - spectroscopy , ultraviolet visible spectroscopy , principal component analysis , ultraviolet , chemistry , linear discriminant analysis , fluorescence , analytical chemistry (journal) , fusion , fluorescence spectroscopy , spectral line , chromatography , optics , artificial intelligence , computer science , physics , linguistics , philosophy , organic chemistry , quantum mechanics , astronomy
Background and Aims We report the chemometric classification of commercial Chinese Cabernet Sauvignon dry red wines according to the winegrowing region based on the coupling of synchronous fluorescence (SF) and ultraviolet (UV)–visible (VIS) spectroscopies. Methods and Results Total SF spectra at a wavelength difference (Δλ) of 10–150 nm with 10‐nm intervals, UV spectra in the 240 to 380 nm range and VIS spectra in the 380‐ to 700‐nm range were recorded. A simple classification model was constructed by principal component analysis and linear discriminant analysis and was evaluated by external validation. The combined use of SF and UV–VIS spectroscopies offered clearer classification than the individual techniques. The Δλ in SF spectroscopy was revealed to play an important role in the classification. The combination of SF spectroscopy at Δλ 30, 60, 90 and 120 nm and UV–VIS spectroscopy achieved the highest prediction rate (79.2%). Conclusions The fusion of data from UV–VIS and SF spectroscopies at multiple Δλ with certain pitched intervals, which has retained more complementary and useful information, can mostly improve the classification of wines. Significance of the Study The joint use of the two complementary spectroscopies provides an alternative to discriminate wines from different geographical origins.