Introduction Surface Plasmon Resonance (SPR) sensors have revolutionized label-free bio- and chemical-sensing, particularly in fields requiring ultra-sensitive detection such as medical diagnostics, food safety, and environmental monitoring. However, their development cycle is often hindered by extensive experimental iterations, high costs, and long time-to-market timelines. Predictive numerical simulations offer a strategic pathway to circumvent these challenges. […]
