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This document presents a novel optical immunosensor utilizing polystyrene nanoparticles and machine learning for the rapid and multiplexed detection of antibiotic residues in milk. The sensor demonstrates high accuracy (>99%) and a broad detection range, addressing public health concerns regarding antibiotic contamination in dairy products. The integration of machine learning enhances the sensor

Author

nektaria.kokosia

Language

EN