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High-Sensitivity Goos-Hänchen Shifts Sensor Based on BlueP-TMDCs-Graphene Heterostructure.
Han, Lei; Hu, Zhimin; Pan, Jianxing; Huang, Tianye; Luo, Dapeng.
Affiliation
  • Han L; School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
  • Hu Z; School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
  • Pan J; School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
  • Huang T; School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
  • Luo D; School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Sensors (Basel) ; 20(12)2020 Jun 26.
Article in En | MEDLINE | ID: mdl-32604852
Surface plasmon resonance (SPR) with two-dimensional (2D) materials is proposed to enhance the sensitivity of sensors. A novel Goos-Hänchen (GH) shift sensing scheme based on blue phosphorene (BlueP)/transition metal dichalogenides (TMDCs) and graphene structure is proposed. The significantly enhanced GH shift is obtained by optimizing the layers of BlueP/TMDCs and graphene. The maximum GH shift of the hybrid structure of Ag-Indium tin oxide (ITO)-BlueP/WS2-graphene is -2361λ with BlueP/WS2 four layers and a graphene monolayer. Furthermore, the GH shift can be positive or negative depending on the layer number of BlueP/TMDCs and graphene. For sensing performance, the highest sensitivity of 2.767 × 107λ/RIU is realized, which is 5152.7 times higher than the traditional Ag-SPR structure, 2470.5 times of Ag-ITO, 2159.2 times of Ag-ITO-BlueP/WS2, and 688.9 times of Ag-ITO-graphene. Therefore, such configuration with GH shift can be used in various chemical, biomedical and optical sensing fields.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: China Country of publication: Switzerland