Figure-of-Merit Engineering in Plasmonic Sensor for Early Malaria Detection: A Computational Study
摘要
A plasmonic sensor based on a Metal-2D Material-Metal (M-2D-M) structure for malaria detection in the near-infrared region is presented in this work. A comprehensive numerical analysis is conducted to design the multilayer plasmonic sensor. The prism (CaF2)-based plasmonic sensor consists of two layers of Aluminum (Al) metal (30 nm and 7 nm) sandwiching a 2D nanomaterial (MoS2) layer. Each layer of the proposed plasmonic sensor is engineered using the Transfer matrix method and Comsol Multiphysics, considering critical performance parameters such as sensitivity and Figure of Merit (FOM). The effect of different 2D nanomaterial layers, including Black phosphorus, Fluorinated Graphene, MXene, and Molybdenum disulfide (MoS2), on the sensing parameters in the M-2D-M structure is studied. The engineered CaF₂-Al-MoS₂-Al sensor achieves a high sensitivity of 120°/RIU and FOM of 600 RIU⁻¹ at 1550 nm. Unlike conventional MDM configurations, the proposed M-2D-M design exploits strong light-matter interactions at the interface to enhance plasmon-analyte coupling while maintaining a narrow resonance linewidth. The proposed platform demonstrates strong potential for reliable malaria detection through refractive index variations of blood components and offers a promising route toward next-generation high-performance plasmonic sensors.