Innovative Optical Methods for Analytical Monitoring of Bionanoagents with Emphasis on Georgian White Wine Authentication

Abstract

The integration of bionanoagents in the food industry has highlighted the need for accurate analytical methods to verify and authenticate products. This study introduces innovative optical methods for monitoring bionanoagents, with a focus on classifying and authenticating Georgian white wines. Through comprehensive spectral analysis, we have developed reference models for quick product verification. The application of Parallel Factor Analysis (PARAFAC) to 3D fluorescence spectra enables precise differentiation of wine components. Results confirm the effectiveness of our approach, marking significant progress in combating food and beverage fraud and indicating the potential for further application in bionanoagent research.