Year
Month
(Peer-Reviewed) Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core
Jianying Jing 井建迎 ¹ ² ³, Kun Liu 刘琨 ¹ ² ³, Junfeng Jiang 江俊峰 ¹ ² ³, Tianhua Xu 徐天华 ¹ ² ³, Shuang Wang 王双 ¹ ² ³, Tiegen Liu 刘铁根 ¹ ² ³
¹ School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
中国 天津 天津大学精密仪器与光电子工程学院
² Key Laboratory of Opto-Electronics Information Technology, Ministry of Education, Tianjin University, Tianjin 300072, China
中国 天津 光电信息技术教育部重点实验室(天津大学)
³ Tianjin Optical Fiber Sensing Engineering Center, Institute of Optical Fiber Sensing, Tianjin University, Tianjin 300072, China
中国 天津 天津大学光纤传感研究所 天津市光纤传感工程中心
Opto-Electronic Advances, 2023-06-25
Abstract

A dispersion model is developed to provide a generic tool for configuring plasmonic resonance spectral characteristics. The customized design of the resonance curve aiming at specific detection requirements can be achieved. According to the model, a probe-type nano-modified fiber optic configurable plasmonic resonance (NMF-CPR) sensor with tip hot spot enhancement is demonstrated for the measurement of the refractive index in the range of 1.3332–1.3432 corresponding to the low-concentration biomarker solution.

The new-type sensing structure avoids excessive broadening and redshift of the resonance dip, which provides more possibilities for the surface modification of other functional nanomaterials. The tip hot spots in nanogaps between the Au layer and Au nanostars (AuNSs), the tip electric field enhancement of AuNSs, and the high carrier mobility of the WSe2 layer synergistically and significantly enhance the sensitivity of the sensor. Experimental results show that the sensitivity and the figure of merit of the tip hot spot enhanced fiber NMF-CPR sensor can achieve up to 2995.70 nm/RIU and 25.04 RIU−1, respectively, which are 1.68 times and 1.29 times higher than those of the conventional fiber plasmonic resonance sensor.

The results achieve good agreements with numerical simulations, demonstrate a better level compared to similar reported studies, and verify the correctness of the dispersion model. The detection resolution of the sensor reaches up to 2.00×10−5 RIU, which is obviously higher than that of the conventional side-polished fiber plasmonic resonance sensor. This indicates a high detection accuracy of the sensor.

The dense Au layer effectively prevents the intermediate nanomaterials from shedding and chemical degradation, which enables the sensor with high stability. Furthermore, the terminal reflective sensing structure can be used as a practical probe and can allow a more convenient operation.
Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core_1
Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core_2
Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core_3
Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core_4
  • High-speed and large-capacity visible light communication for 6G: advances and perspectives
  • Nan Chi, Zhilan Lu, Fujie Li, Haoyu Zhang, Yunkai Wang, Xinyi Liu, Zhiwu Chen, Zhe Feng, Zhuoran Hu, Zhixue He, Ziwei Li, Chao Shen, Junwen Zhang
  • Opto-Electronic Technology
  • 2026-03-20
  • Multi-dimensional photodetection: from material intrinsic properties and metasurface engineering to silicon photonic integration
  • Wenqi Liu, Zilan Tang, Qingzhao Hua, Liang Liu, Xiaoxia Wang, Anlian Pan
  • Opto-Electronic Technology
  • 2026-03-20
  • Holotomography-driven learning unlocks in-silico staining of single cells in flow cytometry by avoiding fluorescence co-registration
  • Daniele Pirone, Giusy Giugliano, Michela Schiavo, Annalaura Montella, Martina Mugnano, Vincenza Cerbone, Maddalena Raia, Giulia Scalia Ivana Kurelac, Diego Luis Medina, Lisa Miccio Mario Capasso, Achille Iolascon, Pasquale Memmolo, Pietro Ferraro
  • Opto-Electronic Science
  • 2026-02-25
  • Narrow beam and low-sidelobe electro-optic beam steering on thin-film lithium niobate optical phased array
  • Yang Li, Shiyao Deng, Xiao Ma, Ziliang Fang, Shufeng Li Weikang Xu, Fangheng Fu, Xu Ouyang, Yuming Wei, Tiefeng Yang Heyuan Guan, Huihui Lu
  • Opto-Electronic Science
  • 2026-02-25
  • Scene-level passive polarization 3D imaging
  • Xin Wang, Pingli Han, Xiyuan Luo, Qianqian Liu, Tong Zhang, Xue Dong, Meng Xiang, Jinpeng Liu, Yanyan Liu, Fei Liu
  • Opto-Electronic Advances
  • 2026-02-12
  • Modelling-guided inverse design strategy for semitransparent perovskite photovoltaics with customized colors
  • Seok-Beom Seo, Rira Kang, Eun-Joo Lee, So-Yeon Ju, Min Jae Lee, Byunghong Lee, Sun-Kyung Kim
  • Opto-Electronic Advances
  • 2026-02-12
  • A hybrid integrated high-precision tunable semiconductor laser
  • Yiran Zhu, Botao Fu, Zhiwei Fang, Qiyue Hu, Jianping Yu, Yunpeng Song, Yu Ma, Min Wang, Kunpeng Jia, Zhenda Xie, Ya Cheng
  • Opto-Electronic Advances
  • 2026-02-12
  • Soft chiral superstructure enabled dynamic polychromatic holography
  • Chun-Ting Xu, Lu Li, Quan-Ming Chen, Guang-Yao Wang, Wei Hu
  • Opto-Electronic Advances
  • 2026-02-12
  • Millisecond-level electrically switchable metalens for adaptive rotational depth mapping and diffraction-limited imaging
  • Yeseul Kim, Jihae Lee, Won-Sik Kim, Hyeonsu Heo, Dongmin Jeon, Beomha Yang, Xiaotong Li, Harit Keawmuang, Shiqi Hu, Young-Ki Kim, Trevon Badloe, Junsuk Rho
  • Opto-Electronic Advances
  • 2026-02-12
  • Ambient-energy-driven space-time-coding metasurface for space-frequency-division multiplexing wireless communications
  • Han Wei Tian, Chao Song, Dong Jie Wang, Qian Zhu, Tie Jun Cui, Wei Xiang Jiang
  • Opto-Electronic Advances
  • 2026-02-12
  • Ultra-sensitive multi-band infrared polarization photodetector based on 1T'-MoTe₂/2H-MoTe₂ van der Waals heterostructure
  • Yuting Pan, Lidan Lu, Bofei Zhu, Chunhua An, Jing Yu, Guanghui Ren, Jian Zhen Ou, Mingli Dong, Zheng You, Lianqing Zhu
  • Opto-Electronic Advances
  • 2026-02-09
  • Tunable compound eyes with coaxial lens-on-lens ommatidia for cooperative bi-focal imaging
  • Zhi-Juan Sun, Wei-Jian Zhong, Qing Cai, Yi-Fan Lu, Chang-Xu Li, Dong-Dong Han, Yong-Lai Zhang
  • Opto-Electronic Advances
  • 2026-02-09



  • Accurate medium-range global weather forecasting with 3D neural networks                                In-flow holographic tomography boosts lipid droplet quantification
    About
    |
    Contact
    |
    Copyright © PubCard