In this study, a theoretical model for a surface plasmon resonance (SPR) sensor was developed using the transfer matrix method (TMM) to simulate and analyze reflectivity as a function of the angle of incidence in a multilayer system. This system consists of a gold layer with a fixed thickness, followed by a layer of SnSe with variable thicknesses within a defined range, and then a thin layer of MoS₂, using water as a biorecognition medium. The study focused on examining the effects of changes in the thickness of the SnSe layer and the wavelength within the range (690 to 1000 nm), as well as the effect of variations in the refractive index of the sensing medium due to contamination. Through numerical simulation, the properties of plasmonic resonance such as the reflection angle, SPR dip width, and SPR dip length were evaluated, along with sensor sensitivity. The sensor response was also analyzed when the refractive index of the sensitive medium changed slightly, reflecting the presence of contaminants, with the aim of studying the sensor’s ability to distinguish between different conditions. The addition of the SnSe layer has proven effective in improving the coupling of the evanescent wave with the sensitive medium, significantly enhancing the sensitivity of the device. A sensitivity of approximately 200°/RIU was achieved at wavelengths of 800 nm and 900 nm with thicknesses of 10 and 60 nm. These results reflect the effectiveness of the proposed design for use in high-precision sensing applications.
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