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Improving the Reliability of SPR Sensor Predictions Using Finite Element Modeling Techniques

Introduction Surface Plasmon Resonance (SPR) sensors, valued for their high sensitivity to refractive index changes, have become foundational in biochemical and environmental sensing. However, accurately predicting their performance remains a key challenge, particularly as sensor architectures grow increasingly complex. Finite Element Modeling (FEM) has emerged as a powerful computational tool to simulate SPR sensor behavior […]

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Numerical Modeling of SPR Sensors

Introduction Surface Plasmon Resonance (SPR) sensors have emerged as powerful tools for label-free, real-time detection of biomolecular interactions. Their operational basis lies in monitoring shifts in the refractive index at a metal-dielectric interface, which correlates directly with molecular binding events occurring on the sensor’s surface. This capability has propelled SPR sensors into critical roles across […]