22 May 2014 Near-infrared spectroscopy and pattern-recognition processing for classifying wines of two Italian provinces
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Abstract
This paper presents an experiment making use of the near-infrared spectrum for distinguishing the wines produced in two close provinces of Abruzzo region of Italy. A collection of 32 wines was considered, 18 of which were produced in the province of Chieti, while the other 14 were from the province of Teramo. A conventional dual-beam spectrophotometer was used for absorption measurements in the 1300-1900 nm spectroscopic range. Principal Component Analysis was used for explorative analysis. Score maps in the PC1-PC2 or PC2-PC3 spaces were obtained, which successfully grouped the wine samples in two distinct clusters, corresponding to Chieti and Teramo provinces, respectively. A modelling of dual-band spectroscopy was also proposed, making use of two LEDs for illumination and a PIN detector instead of the spectrometer. These data were processed using Linear Discriminant Analysis which demonstrated satisfactory classification results.
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A. G. Mignani, L. Ciaccheri, B. Gordillo, Andrea A. Mencaglia, M. L. González-Miret, F. J. Heredia, A. Cichelli, "Near-infrared spectroscopy and pattern-recognition processing for classifying wines of two Italian provinces", Proc. SPIE 9106, Advanced Environmental, Chemical, and Biological Sensing Technologies XI, 91060G (22 May 2014); doi: 10.1117/12.2051914; https://doi.org/10.1117/12.2051914
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