The rapid detection of bacterial contamination in fresh-cut salad is crucial for preventing foodborne outbreaks and ensuring public health safety.Foodborne bacteria are widely present in food and may exist at low concentrations, making bacterial separation and concentration essential for accurate and rapid detection.Magnetic nanoparticles (MNPs) coated with glycans such as chitosan are used to isolate and concentrate bacteria from the food matrix.This study aims to develop glycan-coated MNPs for the efficient capture and detection of foodborne bacteria in fresh-cut salad.Two types of MNPs were developed: chitosan-coated MNPs (CS@Fe3O4) and arginine-modified chitosan-coated MNPs (Arg-CS@Fe3O4).These MNPs were individually characterized and subsequently used to capture multiple bacteria, including Listeria monocytogenes, Staphylococcus aureus, and Salmonella Typhimurium.Reaction parameters were optimized, while the capture efficiency (CE, %) was evaluated in both individual and mixed bacterial cultures.The detection efficiency was further assessed through real-time PCR anal. in the buffer and salad.Arg-CS@Fe3O4 has shown higher CE and lower detection limits than CS@Fe3O4.Specifically, Arg-CS@Fe3O4 has achieved over 99% CE for L. monocytogenes and S. aureus and approx. 83% CE for S.Typhimurium. In salads, the detection limits for L. monocytogenes, S. aureus, and S.Typhimurium were 102, 103, and 101 CFU/g, resp., successfully lowering the detection limits.These findings suggest the potential of Arg-CS@Fe3O4 MNPs as a preconcentration tool for the rapid detection of foodborne bacteria, providing a promising approach to food safety applications.