Application of hand-held near-infrared and Raman spectrometers in surface treatment authentication of cork stoppers

The aim of this paper was to evaluate the potential using near-infrared (NIR) spectroscopy and multivariate analysis as a rapid tool non-destructively determine presence surface treatments applied cork stoppers. Density dimensions 6 closure varieties were characterized extraction force measured on those produced for still wines. Cork stoppers also analyzed hand-held NIR Raman spectrometers. Soft independent modelling class analogy (SIMCA) models showed significant differences among treated untreated samples, linked components coating agents (silicone paraffin). SIMCA model’s classification performance tested high sensitivity (93.33 %) specificity (100 values obtained. Partial least squares regression (PLSR) model accurately predicted forces with low standard error prediction (SEP = 4.0 daN). Our results are promising future application technology in industry, reducing time economic losses.