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Performance evaluation of single-mode fiber optic-based surface plasmon resonance sensor on material and geometrical parameters

Tazi, ImamRiana, DediSyahadi, MohamadMuthmainnah, MuthmainnahSasmitaninghidayah, WiwisAprilia, LiaTresna, Wildan Panji
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Oktober 2024
DOI10.11591/ijece.v14i5.pp5072-5082

Abstrak

Surface plasmon resonance (SPR) sensors are proficient at detecting minute changes in refractive index, making them ideal for biomolecule detection. Traditional prism-based SPR sensors encounter miniaturization challenges, encouraging exploration of alternatives like fiber optic-based SPR (FO-SPR) sensors. This study comprehensively investigates the effects of material and geometrical parameters on the performance of single-mode FO-SPR sensors using Maxwell's equation solver software based on the finite-difference time-domain (FDTD) method. The findings highlight the influence of plasmonic thin film materials and thickness on SPR spectrum profiles and sensitivity. Silver (Ag) demonstrates superior performance compared to copper (Cu) and gold (Au) in transmission type, achieving a sensitivity of up to 2×103 nm/RIU, while the sensitivities of Cu and Au are lower. Probe length and core diameter impact spectrum profiles, specifically resonance depth, without affecting sensitivity. Furthermore, variations in core refractive index influence both spectrum profiles and sensitivity. Probe types significantly affect both spectrum profiles and sensitivity, with the reflection type surpassing the transmission type. These results provide suggestions for optimizing FO-SPR sensors in biotechnological applications.

Kata Kunci

Instrumentation and ControlFiber optic-based sensorsFinite-difference time-domainGeometrical parametersOptimizationPlasmonic materialsSurface plasmon resonance

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Performance evaluation of single-mode fiber optic-based surface plasmon resonance sensor on material and geometrical parameters | International Journal of Electrical and Computer Engineering (IJECE) | Publiora