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
  • Breaking the speed-resolution trade-off in 3.3-km non-line-of-sight imaging using scanning-free laser reflective tomography
  • Zewei Wang, Xiaoyin Li, Yinghui Guo, Hengshuo Guo, Peng Yang, Fei Zhang, Mingbo Pu, Mingfeng Xu, Xiangang Luo
  • Opto-Electronic Science
  • 2026-06-17
  • Highly sensitive DUV-SWIR photodetectors by natural flavonoid-derivative isomers through a multisite chelation strategy
  • Nan Ding, Donggang Li, Mingyu Yao, Yanqi Liu, Hailong Liu, Guoqiang Fang, Ge Zhu, Xiaodong Li, Wen Xu, Bin Dong
  • Opto-Electronic Science
  • 2026-06-17
  • Triplet exciton harvesting via TADF in hafnium chlorides array scintillator screen enables ultrahigh-resolution X-ray imaging
  • Jun'an Lai, Yi Ye, Xu Liu, Sijun Cao, Shiji Zhou, Wenxia Zhang, Kang An, Peng He, Tingming Jiang, Xiaosheng Tang, Rui Zhou, Dong Zhang
  • Opto-Electronic Advances
  • 2026-06-08
  • Vacancy oscillating mode in amorphous binary oxide film by terahertz time domain spectroscopy
  • Huan Liu, Haiyun Huang, Heng Yu, Zhi Gong, Fei Yu, Zheng Zhang, Zhiyong Tan, Juncheng Cao, Haiyun Liu, Kan-Hao Xue, Xiangshui Miao, Yan Liu, Yue Hao, Genquan Han, Qihua Xiong
  • Opto-Electronic Advances
  • 2026-06-08
  • Rayleigh-driven ethanol cluster tracking based on non-contact deep optical molecular diagnosis
  • Geon Mo Kim, Yun Ji Hwang, Chengyi Li, Teajong Hwang, In-Sung Hwang, James Hone, Seong Chan Jun
  • Opto-Electronic Advances
  • 2026-06-08
  • Imprinted high-Q polymer micro-ring resonator array for high-resolution photoacoustic tomography
  • Hyeonwoo Kim, Wei-Kuan Lin, Linyu Ni, Mohammad Ali, Xueding Wang, Guan Xu, L. Jay Guo
  • Opto-Electronic Advances
  • 2026-06-08
  • Emerging optical techniques for sorting and detection of chiral particles
  • Yuzhi Shi, Chengfeng Li, Xiaolei Lin, Wenwen Xue, Chengxing Lai, Tao He, Qinghua Song, Zhanshan Wang, Yulan Wang, Din Ping Tsai, Xinbin Cheng, Haidong Zou
  • Opto-Electronic Advances
  • 2026-06-08
  • Phonon-assisted absorption photoconductive switch
  • Zhao Wang, Lixin Zhang, Lu Cheng, Danwen Zhang, Yu Lu, Naiji Zhang, Xin Zhang, Duanyang Chen, Zhan Sui, Hongji Qi, Wei Zheng
  • Opto-Electronic Science
  • 2026-05-25
  • Photonic spiking reinforcement learning for intelligent routing
  • Shuiying Xiang, Yonghang Chen, Ling Zheng, Zhicong Tu, Xintao Zeng, Mengting Yu, Shuai Wang, Yahui Zhang, Xingxing Guo, Weitao Pan, Yue Hao
  • Opto-Electronic Science
  • 2026-05-25
  • Multistable soliton dynamics in an optical microresonator
  • Zichun Liao, Yuchong Cai, Lun Li, Weiqiang Wang, Shuai Li, Chi Zhang, Wenfu Zhang, Xinliang Zhang
  • Opto-Electronic Advances
  • 2026-05-15
  • AI-powered nonlinear optical imaging reveals protein spatial homogenization as an indicator of impaired bone quality in type 2 diabetes
  • Bowen Zhang, Jiangbo Pu, Tao Hu, Junjie Zeng, Han Zhang, Zemeng Chen, Xiang Ji, Shuhua Yue, Lin Z. Li, Ting Li
  • Opto-Electronic Advances
  • 2026-05-15
  • Highly sensitive SWCNT-based pyroelectric phototransistors for broadband room temperature infrared detection
  • Svetlana I. Serebrennikova, Daria S. Kopylova, Yuriy G. Gladush, Sakellaris Mailis, Nikita E. Gordeev, Aliya R. Vildanova, Aleksandr V. Averchenko, Sergey S. Zhukov, Dmitry V. Krasnikov, Albert G. Nasibulin
  • Opto-Electronic Advances
  • 2026-05-15



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