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Tunable nanoplasmonic sensor based on the asymmetric degree of Fano resonance in MDM waveguide.
Zhan, Shiping; Peng, Yongyi; He, Zhihui; Li, Boxun; Chen, Zhiquan; Xu, Hui; Li, Hongjian.
Afiliação
  • Zhan S; College of Physics and Electronics, Central South University, Changsha 410083, China.
  • Peng Y; College of Physics and Electronics Science, Hunan University of Science and Technology, Xiangtan, 411201, China.
  • He Z; College of Physics and Electronics, Central South University, Changsha 410083, China.
  • Li B; College of Physics and Electronics, Central South University, Changsha 410083, China.
  • Chen Z; College of Physics and Electronics, Central South University, Changsha 410083, China.
  • Xu H; College of Physics and Electronics, Central South University, Changsha 410083, China.
  • Li H; College of Physics and Electronics, Central South University, Changsha 410083, China.
Sci Rep ; 6: 22428, 2016 Mar 02.
Article em En | MEDLINE | ID: mdl-26932299
ABSTRACT
We first report a simple nanoplasmonic sensor for both universal and slow-light sensing in a Fano resonance-based waveguide system. A theoretical model based on the coupling of resonant modes is provided for the inside physics mechanism, which is supported by the numerical FDTD results. The revealed evolution of the sensing property shows that the Fano asymmetric factor p plays an important role in adjusting the FOM of sensor, and a maximum of ~4800 is obtained when p = 1. Finally, the slow-light sensing in such nanoplasmonic sensor is also investigated. It is found that the contradiction between the sensing width with slow-light (SWS) and the relevant sensitivity can be resolved by tuning the Fano asymmetric factor p and the quality factor of the superradiant mode. The presented theoretical model and the pronounced features of this simple nanoplasmonic sensor, such as the tunable sensing and convenient integration, have significant applications in integrated plasmonic devices.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article