Spectroscopic Non-targeted Techniques in Combination with Linear Discriminant Analysis for Wine Vinegar Authentication
Silvia Grassi, Cristina Alamprese
Abstract
Abstract This work aims at comparing different non-targeted spectroscopic techniques (i.e., UV–Vis, FT-IR, FT-NIR, and NIR spectroscopy) for the authentication of white wine vinegar. Five white wine vinegars were adulterated with two different spirit vinegars. Further twenty-five wine vinegars were analyzed to enlarge the authentic product dataset. All samples (i.e., 160) were analyzed in duplicate by UV–Vis, FT-NIR, and FT-IR spectroscopy; moreover, a handheld NIR device was tested on a subset of samples (i.e., 89). Principal component analysis revealed sample patterns related to vinegar acidity (6 or 7.1%) rather than adulteration levels. After variable selection (SELECT algorithm), linear discriminant analysis (LDA) models were developed and tested by independent external sets. The LDA models gave very high weighted correct classification rates in calibration (95.5–100.0%), cross-validation (92.4–100.0%), and prediction (90.0–100.0%) for all the spectroscopic techniques. With the portable NIR instrument, 100% correct classifications in prediction were obtained, demonstrating its suitability in vinegar authentication.