材料科学
包层(金属加工)
太赫兹辐射
光电子学
折射率
光学
表面等离子体激元
表面等离子共振
光子晶体光纤
等离子体子
表面等离子体子
分裂环谐振器
光纤传感器
全内反射
波长
光纤
生物传感器
谐振器
耦合模理论
光子晶体
光子学
包层模式
太赫兹光谱与技术
纳米光子学
图像分辨率
瑞利散射
雷
分析物
超材料
灵敏度(控制系统)
光探测
局域表面等离子体子
残余物
光学环形谐振器
作者
Yunjie Ma,Shutao Wang,Jiangtao Lv,Zhenghao Zhang,Jingrui Zhang
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2025-12-10
卷期号:33 (26): 54958-54958
被引量:1
摘要
Terahertz (THz) sensing technology, renowned for its non-ionizing nature and fingerprint specificity, faces significant challenges in multi-analyte environments due to the inherent limitations of conventional single-channel surface plasmon resonance (SPR) sensors. These limitations include susceptibility to environmental noise, a restricted dynamic range, and inadequate drift compensation. To address these issues, this work introduces a dual-core dual-channel micro-structured photonic crystal fiber (DC-DC-MPCF) sensor, which integrates independent detection and reference channels for simultaneous analyte detection and systematic error suppression. This sensor uses a molybdenum disulfide (MoS2) excitation layer on a low-loss, water-resistant Zeonex substrate to boost plasmonic field localization and light-matter interactions. Structural innovations, such as a double-D-shaped polished platform and periodic airhole arrays, optimize evanescent field confinement and coupling efficiency between core-guided modes and surface plasmon polaritons (SPPs). Through finite element method (FEM) simulations, critical parameters such as residual cladding thickness (580 µm), ring cavity radius (140 µm), and MoS2 layer thickness (10 µm) are rigorously optimized, achieving a maximum amplitude sensitivity of 162.1895 RIU-1 and wavelength sensitivity of 98087.1 nm/RIU. Simulations confirm that the dual channels operate independently, with the reference channel effectively compensating for environmental disturbances, achieving a wavelength resolution of 1.019 × 10-6 RIU. The sensor demonstrates broad adaptability across a refractive index range of 1.33-1.45, enabling high-precision detection of trace biomolecules such as proteins and DNA. This work establishes a versatile platform for real-time, multi-analyte sensing applications in biomedical diagnostics and environmental monitoring.
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