Abstract
The objective of this PhD project is to develop a method that can fingerprint the wine bottle using portable spectrometry. Analysis has shown that spectra from different bottles at the bottleneck reveal unique profiles, demonstrating the method’s effectiveness for identifying individual bottles. PCA plot shows the distribution of spectral data at different positions around a wine bottle, with PC1 capturing 95% of the variance, indicating primary variability due to positional changes. Clusters and outliers reflect bottle surface properties and unique features affecting spectral readings. This approach may complement wine authentication strategies by capturing detailed spectral data.