A Highly Sensitive SPR Sensors Based on Two Parallel PCFs for Low Refractive Index Detection
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
---|---|
Article number | 7104010 |
Journal / Publication | IEEE Photonics Journal |
Volume | 10 |
Issue number | 4 |
Online published | 16 Jul 2018 |
Publication status | Published - Aug 2018 |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85049965413&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(14c05907-e6e8-4ff6-956e-9f396029ca36).html |
Abstract
Based on two parallel photonic crystal fibers (PCFs) with D-shape structure, a novel surface plasmon resonance (SPR) sensor with low refractive-index (RI) detection at near-infrared-wavelengths is described. According to the coupled-mode theory, directional power transfer between the two fiber cores is enhanced by resonant coupling between the surface plasmon modes and fiber core-guided modes. In comparison with corresponding single D-shape PCF, a maximum spectral sensitivity up to 13500 nm/RIU and resolution of 7.41 × 10−6 RIU for RI detection range between 1.27 and 1.32 are achieved. The proposed two parallel D-shape PCFs-SPR sensor with lower RI detection range offer large potential in the fields of pharmaceutical inspection and pharmaceutical leakage monitoring.
Research Area(s)
- Gold, lower RI detection, near-infrared, Optical fiber sensors, Optical fibers, parallel fiber, PCF-SPR, Plasmons, Sensitivity
Citation Format(s)
A Highly Sensitive SPR Sensors Based on Two Parallel PCFs for Low Refractive Index Detection. / Wang, Famei; Liu, Chao; Sun, Zhijie et al.
In: IEEE Photonics Journal, Vol. 10, No. 4, 7104010, 08.2018.
In: IEEE Photonics Journal, Vol. 10, No. 4, 7104010, 08.2018.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Download Statistics
No data available