Yue Chong, Zhao Xiuting, Tao Lei, Zheng Chuntao, Ding Yueqing, Guo Yongcai
College of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China.
Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
Micromachines (Basel). 2024 Mar 3;15(3):362. doi: 10.3390/mi15030362.
For the purpose of detecting waterborne bacteria, a high-phase-sensitivity SPR sensor with an Ag-TiO-Franckeite-WS hybrid structure is designed using an improved seeker optimization algorithm (ISOA). By optimizing each layer of sensor construction simultaneously, the ISOA guarantees a minimum reflectance of less than 0.01 by Ag (20.36 nm)-TiO (6.08 nm)-Franckeite (monolayer)-WS (bilayer) after 30 iterations for . And the optimal phase sensitivity is 2.378 × 10 deg/RIU. Sensor performance and computing efficiency have been greatly enhanced using the ISOA in comparison to the traditional layer-by-layer technique and the SOA method. This will enable sensors to detect a wider range of bacteria with more efficacy. As a result, the ISOA-based design idea could provide SPR biosensors with new applications in environmental monitoring.
为了检测水中细菌，采用改进的搜索优化算法（ISOA）设计了一种具有Ag-TiO-钒铅铋矿-WS混合结构的高相位灵敏度SPR传感器。通过同时优化传感器结构的每一层，ISOA在30次迭代后保证了由Ag（20.36 nm）-TiO（6.08 nm）-钒铅铋矿（单层）-WS（双层）构成的结构的最小反射率小于0.01。并且最佳相位灵敏度为2.378×10°/RIU。与传统的逐层技术和SOA方法相比，使用ISOA极大地提高了传感器性能和计算效率。这将使传感器能够更有效地检测更广泛的细菌。因此，基于ISOA的设计理念可为SPR生物传感器在环境监测中提供新的应用。
