Machine Learning-Enhanced Fluorescence Spectroscopy for Food Safety and Environmental Monitoring: Recent Advances, Applications, and Future Perspectives
Fluorescence spectroscopy (FS) has gained increasing attention as a rapid, sensitive, and non-destructive analytical technique for food safety evaluation and environmental monitoring. However, its practical applications are often constrained by complex sample matrices, spectral overlap, high-dimensional data structures...