提出了一种基于双通道传输控制光子晶体光纤(PCF)的等离子体传感器,用于同时检测多种分析物。等离子体微通道放置在PCF的外表面上,这有利于一个简单的传感机制。通过具有完全匹配层(PML)边界条件的有限元方法(FEM)对传感器进行了数值研究。在优化传感器参数的基础上,对所提出的传感器性能进行了分析,例如禁闭损失,共振耦合,决议,灵敏度,和品质因数(FOM)。所提出的传感器显示出25,000nm/折射率单位(RIU)的最大波长灵敏度(WS),通道2(Ch-2)的最大传感器分辨率(SR)为4.0×10-6RIU,和WS为3000nm/RIU,通道1(Ch-1)的SR为3.33×10-5RIU。据我们所知,与先前报道的基于多分析物的PCF表面等离子体共振(SPR)传感器相比,所提出的传感器表现出最高的WS。所提出的传感器可以在可见至近红外区域(550至1300nm)中检测1.32至1.39的折射率(RI)范围内的未知分析物。此外,所提出的传感器的最大品质因数(FOM)为150和500RIU-1,检测限(LOD)分别为Ch-1和Ch-2的1.11×10-8RIU2/nm和1.6×10-10RIU2/nm。由于其高度敏感的性质,提出的多分析物PCFSPR传感器可能是生物传感领域的突出候选者,以检测生物分子相互作用和化学传感。
A dual-channel propagation controlled photonic crystal fiber (PCF)-based plasmonic sensor was presented to detect multiple analytes simultaneously. Plasmonic micro-channels were placed on the outer surface of the PCF, which facilitates an easy sensing mechanism. The sensor was numerically investigated by the finite element method (FEM) with the perfectly matched layer (PML) boundary conditions. The proposed sensor performances were analyzed based on optimized sensor parameters, such as confinement loss, resonance coupling, resolution, sensitivity, and figure of merit (FOM). The proposed sensor showed a maximum wavelength sensitivity (WS) of 25,000 nm/refractive index unit (RIU) with a maximum sensor resolution (SR) of 4.0 × 10-6 RIU for channel 2 (Ch-2), and WS of 3000 nm/RIU with SR of 3.33 × 10-5 RIU for channel 1 (Ch-1). To the best of our knowledge, the proposed sensor exhibits the highest WS compared with the previously reported multi-analyte based PCF surface plasmon resonance (SPR) sensors. The proposed sensor could detect the unknown analytes within the refractive index (RI) range of 1.32 to 1.39 in the visible to near infrared region (550 to 1300 nm). In addition, the proposed sensor offers the maximum Figure of Merit (FOM) of 150 and 500 RIU-1 with the limit of detection (LOD) of 1.11 × 10-8 RIU2/nm and 1.6 × 10-10 RIU2/nm for Ch-1 and Ch-2, respectively. Due to its highly sensitive nature, the proposed multi-analyte PCF SPR sensor could be a prominent candidate in the field of biosensing to detect biomolecule interactions and chemical sensing.