Yue Chong, Ding Yueqing, Tao Lei, Zhou Sen, Guo Yongcai
College of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China.
Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
Sensors (Basel). 2023 Oct 12;23(20):8401. doi: 10.3390/s23208401.
A differential evolution particle swarm optimization (DEPSO) is presented for the design of a high-phase-sensitivity surface plasmon resonance (SPR) gas sensor. The gas sensor is based on a bilayer metal film with a hybrid structure of blue phosphorene (BlueP)/transition metal dichalcogenides (TMDCs) and MXene. Initially, a Ag-BlueP/TMDCs-Ag-MXene heterostructure is designed, and its performance is compared with that of the conventional layer-by-layer method and particle swarm optimization (PSO). The results indicate that optimizing the thickness of the layers in the gas sensor promotes phase sensitivity. Specifically, the phase sensitivity of the DEPSO is significantly higher than that of the PSO and the conventional method, while maintaining a lower reflectivity. The maximum phase sensitivity achieved is 1.866 × 10 deg/RIU with three layers of BlueP/WS and a monolayer of MXene. The distribution of the electric field is also illustrated, demonstrating that the optimized configuration allows for better detection of various gases. Due to its highly sensitive characteristics, the proposed design method based on the DEPSO can be applied to SPR gas sensors for environmental monitoring.
提出了一种差分进化粒子群优化算法（DEPSO）用于设计高相位灵敏度的表面等离子体共振（SPR）气体传感器。该气体传感器基于具有蓝磷（BlueP）/过渡金属二硫属化物（TMDCs）和MXene混合结构的双层金属膜。首先，设计了一种Ag-BlueP/TMDCs-Ag-MXene异质结构，并将其性能与传统的逐层方法和粒子群优化算法（PSO）进行了比较。结果表明，优化气体传感器中各层的厚度可提高相位灵敏度。具体而言，DEPSO的相位灵敏度显著高于PSO和传统方法，同时保持较低的反射率。在具有三层BlueP/WS和单层MXene的情况下，实现的最大相位灵敏度为1.866×10°/RIU。还展示了电场分布，表明优化后的配置能够更好地检测各种气体。由于其高灵敏度特性，基于DEPSO提出的设计方法可应用于用于环境监测的SPR气体传感器。
