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Employing Higher Order Cladding Modes of Fiber Bragg Grating for Analysis of Refractive Index Change in Volume and at the Surface

Bandyopadhyay, Sankhyabrata, Shao, Liyang, Smietana, Mateusz, Wang, Chao, Hu, Jie, Wang, Guoqing, Hu, Wei, Gu, Guoqiang, Yang, Yatao (2020) Employing Higher Order Cladding Modes of Fiber Bragg Grating for Analysis of Refractive Index Change in Volume and at the Surface. IEEE Photonics Journal, 12 (1). pp. 1-13. ISSN 1943-0647. (doi:10.1109/JPHOT.2019.2963125) (KAR id:80604)

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In this work, a detailed study on volume and surface refractive index (RI) sensitivity of cladding modes for a fiber Bragg grating (FBG) based sensor is presented. Surface RI sensitivity of the cladding mode of FBGs has been illustrated and quantified with the concept of add-layer sensitivity for the first time to the best of our knowledge. A detailed investigation of mode transition of higher-order cladding modes has been revisited and important characteristics of the cladding modes are observed which could open a new designing path of fabrication and innovative way of the use of this family of optical fiber grating-based sensors. The effect of “mode transition” of higher-order cladding modes, higher operating wavelength for respective cladding mode and “mode stretching” effects are combined together to achieve higher volume and surface RI sensitivity of cladding mode of FBG. It has been shown numerically that with proper designing, sub-nanometer (∼0.04 nm) attachment of target analyte could be recognized by cladding mode of FBG which is quite promising for application in optical fiber grating bio-sensors. This critical designing method of FBG based surface refractometer would be very helpful in case of the fabrication of highly sensitive sensors for distinct biochemical applications.

Item Type: Article
DOI/Identification number: 10.1109/JPHOT.2019.2963125
Uncontrolled keywords: Fiber Bragg grating, cladding mode, mode transition, surface refractive index sensitivity
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Chao Wang
Date Deposited: 24 Mar 2020 17:37 UTC
Last Modified: 16 Feb 2021 14:12 UTC
Resource URI: (The current URI for this page, for reference purposes)
Wang, Chao:
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