title: Determination of geographical origin of alcoholic beverages using ultraviolet, visible and infrared spectroscopy: A review.
abstract: The identification of the geographical origin of beverages is one of the most important issues in food chemistry. Spectroscopic methods provide a relative rapid and low cost alternative to traditional chemical composition or sensory analyses. This paper reviews the current state of development of ultraviolet (UV), visible (Vis), near infrared (NIR) and mid infrared (MIR) spectroscopic techniques combined with pattern recognition methods for determining geographical origin of both wines and distilled drinks. UV, Vis, and NIR spectra contain broad band(s) with weak spectral features limiting their discrimination ability. Despite this expected shortcoming, each of the three spectroscopic ranges (NIR, Vis/NIR and UV/Vis/NIR) provides average correct classification higher than 82%. Although average correct classification is similar for NIR and MIR regions, in some instances MIR data processing improves prediction. Advantage of using MIR is that MIR peaks are better defined and more easily assigned than NIR bands. In general, success in a classification depends on both spectral range and pattern recognition methods. The main problem still remains the construction of databanks needed for all of these methods.
authors.affiliation: Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 812 37 Bratislava, Slovak Republic. Electronic address: veronika.urickova@stuba.sk.
authors.forename: Veronika
authors.initials: V
authors.lastname: Uríčková
authors.affiliation: Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 812 37 Bratislava, Slovak Republic.
authors.forename: Jana
authors.initials: J
authors.lastname: Sádecká
mesh_terms: D000434:Alcoholic Beverages / Q000032:analysis* / Q000145:classification*; D005843:Geography; D016018:Least-Squares Analysis; D010363:Pattern Recognition, Automated / Q000379:methods; D025341:Principal Component Analysis; D013055:Spectrophotometry, Infrared / Q000379:methods*; D013056:Spectrophotometry, Ultraviolet / Q000379:methods*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
keywords: Beverages; Geographical origin; Infrared spectroscopy; Pattern recognition methods; Ultraviolet and visible spectroscopy