An Improved Seeker Optimization Algorithm for Phase Sensitivity Enhancement of a Franckeite- and WS2-Based SPR Biosensor for Waterborne Bacteria Detection

Chong Yue; Xiuting Zhao; Lei Tao; Chuntao Zheng; Yueqing Ding; Yongcai Guo

doi:10.3390/mi15030362

An Improved Seeker Optimization Algorithm for Phase Sensitivity Enhancement of a Franckeite- and WS₂-Based SPR Biosensor for Waterborne Bacteria Detection

Micromachines (Basel). 2024 Mar 3;15(3):362. doi: 10.3390/mi15030362.

Authors

Chong Yue^{1

2}, Xiuting Zhao³, Lei Tao², Chuntao Zheng³, Yueqing Ding², Yongcai Guo¹

Affiliations

¹ College of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China.
² Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
³ College of Advanced Manufacturing, Guangdong University of Technology, Jieyang 510008, China.

Abstract

For the purpose of detecting waterborne bacteria, a high-phase-sensitivity SPR sensor with an Ag-TiO₂-Franckeite-WS₂ 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)-TiO₂ (6.08 nm)-Franckeite (monolayer)-WS₂ (bilayer) after 30 iterations for E. coli. And the optimal phase sensitivity is 2.378 × 10⁶ 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.

Keywords: Franckeite; SPR; WS2; improved seeker optimization algorithm; phase sensitivity; waterborne bacteria.

Abstract

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