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
  • Multiple degrees-of-freedom optical encryption via pixel-resolved vectorial holography
  • Jianzhong Peng, Haoxian Zhou, Mengzhe Shen, Dapeng Wang, Yu Chen, Renlong Zhang, Fangrui Lin, Xiaoyu Weng, Junle Qu
  • Opto-Electronic Technology
  • 2026-09-30
  • Recent progress on mid-infrared and terahertz dual-comb spectroscopy
  • Zhuoren Wan, Min Li, Binbin Liu, Yu Xia, Yuan Chen, Xiuxiu Zhang, Dongxu Zhu, Yan Dai, Sinan Tao, Hua Li, Ming Yan, Heping Zeng
  • Opto-Electronic Technology
  • 2026-09-30
  • Optical packaging of photonic integrated circuits: bottlenecks and potential solutions
  • Rodrigo Rendeiro, Hugo Neto, Diogo Vaz, Carla Rodrigues, Heming Wei, Jan Nedoma, Antonio Teixeira, Francisco Rodrigues, Carlos Marques
  • Opto-Electronic Technology
  • 2026-09-30
  • Halide perovskite-based metasurfaces: structure design, performance regulation, and optoelectronic applications
  • Junxue Liu, Ying Su, Zibo Gao, Yinghan Li, Jingyuan Jia, Dequn Zhang, Yijing Mao, Tun Cao
  • Opto-Electronic Manufacturing
  • 2026-09-25
  • Electrically switchable bright-field and interference-synthesized edge-enhanced imaging with a polarization-multiplexed metalens
  • Xiaotong Li, Junhwa Seong, Yeseul Kim, Kwang-Suk Oh, Shiqi Hu, Le Dai, Harit Keawmuang, Beomha Yang, Minseok Choi, Youngsun Jeon, Cherry Park, Weiyan Li, Tianxu Jia, Han Zhu, Xiaodong Cai, Qi Zheng, Jinhui Shi, Young-Ki Kim, Yuchuan Shao, Trevon Badloe, Junsuk Rho
  • Opto-Electronic Science
  • 2026-09-20
  • Multiphysics optimization framework for high-power fiber amplifiers
  • Wei Liu, Zan Cheng, Pengfei Ma, Yisha Chen, Huan Yang, Zhiyong Pan, Zefeng Wang, Jinbao Chen
  • Opto-Electronic Science
  • 2026-09-20
  • 3D-printed copper water cooling system assisted fabrication of 10.6-μm high-power CO₂ laser resistance reflectors
  • Hongfei Jiao, Binbin Jiang, Xinshang Niu, Yifan Wang, Dongdong Li, Jun Yu, Xiaochuan Ji, Jingjing Xia, Jinlong Zhang, Xinbin Cheng, Zhanshan Wang
  • Opto-Electronic Advances
  • 2026-09-15
  • Pixel-controlled programmable metasurface as phase-type spatial terahertz modulator
  • Guibin Li, Guanyi Li, Zehao He, Xinke Wang, Peter J. Klar, He Ma, Yan Zhang
  • Opto-Electronic Advances
  • 2026-09-15
  • Spatiotemporal beam stirring in a multicore fiber
  • Alena Y. Kolesnikova, Mikhail D. Gervaziev, Nikita V. Bochkarev, Denis S. Kharenko, Evgeniy V. Podivilov, Sergey A. Babin
  • Opto-Electronic Advances
  • 2026-09-15
  • Ultrafast all-optical modulation of wide-bandwidth pulses enabled by silicon-metasurfaces
  • Kaloyan Georgiev, Khosro Zangeneh Kamali, Anton A. Trifonov, Giulia Crotti, Lyuben Petrov, Stefan Georgiev, Hristo Iliev, Lei Xu, Unai Arregui Leon, Mohsen Rahmani, Giuseppe Della Valle, Ivan Buchvarov, Dragomir Neshev
  • Opto-Electronic Advances
  • 2026-09-15



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