Dual-Core Dual-Polished PCF-SPR Sensor for Cancer Cell Detection

被引:6
|
作者
Sardar, Md. Ranju [1 ]
Faisal, Mohammad [1 ]
机构
[1] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka, Bangladesh
关键词
Sensors; Cancer; Sensor phenomena and characterization; Gold; Sensitivity; Optical fiber sensors; Claddings; Cancer cells; finite element method (FEM); mesh analysis; photonic crystal fiber-based surface plasmon resonance (PCF-SPR) sensor; refractive index (RI); surface plasmon resonance; SURFACE-PLASMON-RESONANCE; PHOTONIC CRYSTAL FIBERS; HIGH-SENSITIVITY; GRAPHENE; BIOSENSOR; SILVER; TEMPERATURE; CHANNELS;
D O I
10.1109/JSEN.2024.3358173
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article presents a novel photonic crystal fiber-based surface plasmon resonance (PCF-SPR) sensor designed for cancer cell detection within the human body. The sensor's construction involves precise chemical vapor deposition (CVD) to deposit gold, a plasmonic material, on both parallel and opposing peripheral sections of the PCF lattice. The dual-side polished PCF-SPR sensor is systematically positioned near a solution containing cancer cells awaiting detection. An external sensing system monitors changes in the SPR phenomenon, enabling the precise measurement of the refractive index (RI) of the scrutinized cancer cells. The PCF-SPR sensor's intricate design and numerical exploration of its structural parameters are methodically conducted using COMSOL Multiphysics software, employing a full vectorial finite element method (FEM) to ensure accuracy and reliability in performance evaluation. Simulation results reveal critical parameters: a maximum wavelength sensitivity of 7143 nm/RIU, an amplitude sensitivity of -270 RIU (-1) , a sensor resolution of 2.9x 10(-5) RIU, and a figure of merit (FOM) of 900. With its streamlined structure, minimal air hole count, and exceptional sensitivity, the proposed PCF-SPR sensor holds significant promise for accurate cancer cell detection within the human body. This innovation has the potential to greatly enhance healthcare diagnostics, offering a more effective and precise means of identifying cancerous cells to improve patient care.
引用
收藏
页码:9843 / 9854
页数:12
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