Optical Review ( IF 1.1 ) Pub Date : 2024-03-11 , DOI: 10.1007/s10043-024-00875-7 Amir Davami , Mokhtar Aarabi
In this paper, the effect of different structures and flakes of phosphorene (Ph), germanene (Ge), and borophene (B) sandwiched between MoS2 layers on the surface plasmon resonance (SPR) biosensor structure is simulated and investigated in the Lumerical software environment. The main structure is based on the Kretschmann structure, utilizing the BK7 prism, a 30 nm gold (Au) layer, and an MoS2 and (Ph, Ge, B) hybrid structure as the top layer. The reflectance curves of the proposed SPR biosensors were obtained, analyzed, and compared for different refractive index modes, specifically n = 1.33 for a neutral aqueous medium and n = 1.339 for a bacterial medium. The results demonstrate that the minimum reflectance occurs for a 30 nm Au layer at an SPR resonance angle of θ = 71.95°. However, when different configurations of (Ph, Ge, B) with varying thicknesses are sandwiched between MoS2 layers on the Au layer, the resonance angle increases. The minimum reflectance values for a monolayer of phosphorene, a triple layer of germanene, and a triple layer of borophene sandwiched between MoS2 double layers on the Au layer are 0.027, 0.002, and 0.004, respectively. The triple layer of germanene exhibits the highest sensitivity of 152°/RIU for Δn = 0.009 with a detection accuracy of 0.090. The simulation results of the proposed structures present new opportunities for enhancing the sensitivity and performance of SPR biosensors.
中文翻译:
MoS2 和(磷烯、锗烯、硼烯)混合结构对细菌检测 SPR 生物传感器性能的影响
本文在Lumerical软件中模拟并研究了夹在MoS 2层之间的磷烯(Ph)、锗烯(Ge)和硼烯(B)的不同结构和薄片对表面等离子体共振(SPR)生物传感器结构的影响。环境。主要结构基于Kretschmann结构,利用BK 7棱镜、30 nm金(Au)层以及MoS 2和(Ph,Ge,B)混合结构作为顶层。获得、分析和比较了所提出的 SPR 生物传感器的反射率曲线,并针对不同的折射率模式进行了比较,特别是 中性水介质的n = 1.33 和 细菌介质的n = 1.339。结果表明,30 nm Au 层在 SPR 共振角 θ = 71.95° 时出现最小反射率。然而,当具有不同厚度的不同构型的(Ph,Ge,B)夹在Au层上的MoS 2层之间时,谐振角增大。夹在Au层上的MoS 2双层之间的单层磷烯、三层锗烯和三层硼烯的最小反射率值分别为0.027、0.002和0.004。三层锗烯在 Δn = 0.009 时表现出最高的灵敏度 152°/RIU,检测精度为 0.090。所提出的结构的模拟结果为提高SPR生物传感器的灵敏度和性能提供了新的机会。