Ultrasensitive refractive index sensor based on graphene coated hollow core fiber

Abstract

A high-quality nanolayer graphene (NLG) coated hollow core fiber (HCF) platform has been demonstrated for accurate monitoring of refractive index (RI) changes so far mainly operate in liquids but not in air. The NLG with high index is deposited on the outer surface of the HCF, and an enhanced anti-resonant reflecting guidance is formed, which induces sharp periodic lossy dips in the transmission spectrum. A cute experiment conducted interrogating the transmission intensity of the lossy dip demonstrates a high resolution of 2.73×10-6 RIU and a sensitivity of -365.9 dB/RIU, which is two or three times higher than that of intensity-modulated RI sensors reported previously. We believe that this configuration opens research directions for highly sensitive sensing in researches of chemistry, medicine, and biology.

Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: National Natural Science Foundation of China (61505119, 11174064, 61308027, and 61377090), National Postdoctoral Program for Innovative Talents (BX201600077), Brain Gain Foundation of Nanjing University of Posts and Telecommunications (NY215040) and the Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province (GD201706)
Event Title: 16th International Conference on Optical Communications and Networks, ICOCN 2017
Event Type: Other
Event Dates: 2017-08-07 - 2017-08-10
ISBN: 9781538632734
Last Modified: 01 Dec 2023 08:11
Date Deposited: 22 Mar 2018 14:10
Full Text Link: 10.1109/ICOCN.2017.8121385
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2017-12-01
Published Online Date: 2017-12-01
Accepted Date: 2017-11-30
Authors: Huang, Meng
Sun, Bing
Wei, Wei
Wan, Hongdan
Zhang, Zuxing
Zhang, Lin

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