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<p>Surface plasmon resonance (SPR)-based optical fiber sensors have come up as a newfangled technology for precise detection of biological pathogens with remarkable sensitivity. The present research exhibits the design, modelling, and simulation of a supersensitive multi-mode fiber sensor for detection of refractive index of RBC components associated with various stages of malaria pathogens. The sensor comprises a flat D-shape surface engraved with three U-shape channels, which maximize the overall surface area. The surface of the channel is coated with a thin layer of Au to excite the evanescent field. The proposed optical fiber sensor is modelled using COMSOL Multiphysics software, and characteristics of different modes are studied by manipulating the finite element technique. Numerous key parameters of the structure such as width of the channel, depth of the channel and thickness of Au layer are sensibly optimized to attain a maximum peak loss. The simulation upshots revealed that the optimized sensor has a capability to detect minute change in the refractive index of RBC components associated with various stages of malaria pathogens with a notable sensitivity of 1351.35&#xa0;nm/RIU. Moreover, the designed optical fiber sensor offers a robust, portable, and cost-effective platform for malaria diagnostics, with potential applications in point-of-care testing and field deployments in resource-limited settings.</p>

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An investigation of SPR based optical fiber sensor with U-shape channels for refractive index based detection of malaria pathogens

  • 期刊论文

  • 发表日期：

    2025年6月6日

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  • Parthasarathi Das,
  • Gayadhar Pradhan

摘要

Surface plasmon resonance (SPR)-based optical fiber sensors have come up as a newfangled technology for precise detection of biological pathogens with remarkable sensitivity. The present research exhibits the design, modelling, and simulation of a supersensitive multi-mode fiber sensor for detection of refractive index of RBC components associated with various stages of malaria pathogens. The sensor comprises a flat D-shape surface engraved with three U-shape channels, which maximize the overall surface area. The surface of the channel is coated with a thin layer of Au to excite the evanescent field. The proposed optical fiber sensor is modelled using COMSOL Multiphysics software, and characteristics of different modes are studied by manipulating the finite element technique. Numerous key parameters of the structure such as width of the channel, depth of the channel and thickness of Au layer are sensibly optimized to attain a maximum peak loss. The simulation upshots revealed that the optimized sensor has a capability to detect minute change in the refractive index of RBC components associated with various stages of malaria pathogens with a notable sensitivity of 1351.35 nm/RIU. Moreover, the designed optical fiber sensor offers a robust, portable, and cost-effective platform for malaria diagnostics, with potential applications in point-of-care testing and field deployments in resource-limited settings.