Near-infrared spectroscopy and pattern-recognition processing for classifying wines of two Italian provinces

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.

Determination of Fenitrothion in Water by Near Infrared Spectroscopy and Chemometric Analysis

“…Near-infrared spectroscopy is further complemented by new technologies such as continuous wave functional near-infrared spectroscopy (Scholkmann et al 2014). Near infrared has been employed for oil quality (Casale and Simonetti 2014), wine characterization (Martelo-Vidal and Vazquez 2014) (Mignani et al 2014), and milk quality control (Wang et al 2014;Zhang et al 2014). Other applications include hydrothermal carbonization liquid products (Reza et al 2014) and deuterium= hydrogen exchange in liquid D 2 O (Unger, Ozaki, and Siesler 2014).…”