Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70510
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Title: Hollow-core fiber-based high finesse resonating cavity for high sensitivity gas detection
Authors: Tan, YZ 
Jin, W 
Yang, F 
Qi, Y 
Zhang, CZ 
Lin, YC 
Ho, HL 
Issue Date: 15-Jul-2017
Source: Journal of lightwave technology, 15 July 2017, v. 35, no. 14, p. 2887-2893
Abstract: High finesse hollow-core photonic bandgap fiber (HC-PBF) resonating Fabry-Perot gas cells are presented. These gas cells are made with a piece of HC-PBF sandwiched by two single mode fibers with mirrored ends. A HC-PBF cavity made with 6.75-cm-long HC-1550-06 fiber achieved a cavity finesse of 128, corresponding to an effective optical path length of similar to 5.5 m. Experiment with a 9.4-cm-long Fabry-Perot gas cell with a finesse of 68 demonstrated a detection limit of 7 ppm acetylene. Compared with a single-path nonresonating HC-PBF, the use of a high finesse resonating HC-PBF cavity can reduce significantly the effect of modal interference on gas detection and improve the detection sensitivity. The cavity-enhanced HC-PBF gas cells enable stronger light-gas interaction and can be used to develop all-fiber gas sensors with high sensitivity and fast response.
Keywords: Fabry-Perot resonator
Gas sensor
Optical fiber sensor
Photonic crystal fiber
Publisher: Institute of Electrical and Electronics Engineers
Journal: Journal of lightwave technology 
ISSN: 0733-8724
EISSN: 1558-2213
DOI: 10.1109/JLT.2017.2705229
Rights: ©2017 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.
The following publication Y. Tan et al., "Hollow-Core Fiber-Based High Finesse Resonating Cavity for High Sensitivity Gas Detection," in Journal of Lightwave Technology, vol. 35, no. 14, pp. 2887-2893, 15 July15, 2017 is available at https://doi.org/10.1109/JLT.2017.2705229
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