Application of fluorescence spectroscopy using classical right angle technique in white wines classification.

Area of Science:

• Analytical Chemistry
• Food Science
• Spectroscopy

Background:

• Wine authentication is crucial for quality control and fraud prevention.
• Spectroscopic techniques combined with chemometrics offer powerful tools for analyzing complex matrices like wine.

Purpose of the Study:

• To evaluate the potential of excitation-emission matrices (EEM) spectroscopy for classifying white wines.
• To differentiate wines based on cultivar and geographical origin using chemometric analysis.

Main Methods:

• Measurements of excitation-emission matrices (EEM) using the classical right-angle technique.
• Statistical processing of EEM data using parallel factor analysis (PARAFAC).
• Classification of wine samples using the Soft Independent Modeling Classification Analogy (SIMCA) model.

Main Results:

• High accuracy in cultivar differentiation with only 3 out of 107 samples misclassified.
• Accurate geographical origin assessment with only 2 out of 107 samples misclassified.
• Demonstrated feasibility of EEM spectroscopy for wine authentication without prior sample dilution.

Conclusions:

• Excitation-emission fluorescence matrices spectroscopy is a promising technique for wine authentication.
• The classical right-angle technique coupled with chemometrics provides a robust method for wine classification.
• This approach offers a rapid and effective tool for verifying wine's cultivar and geographical origin.