Fibre laser using a microchannel based loss tuning element for refractive index sensing

Abstract

We have proposed and demonstrated a fibre laser system using a microchannel as a cavity loss tuning element for surrounding medium refractive index (SRI) sensing. A ~6µm width microchannel was created by femtosecond (fs) laser inscription assisted chemical etching in the cavity fibre, which offers a direct access to the external liquids. When the SRI changes, the microchannel behaves as a loss tuning element, hence modulating the laser cavity loss and output power. The results indicate that the presented laser sensing system has a linear response to the SRI with a sensitivity in the order of 10-5. Using higher pump power and more sensitive photodetector, the SRI sensitivity could be further enhanced.

Additional Information: Chengbo Mou ; Kaiming Zhou ; Edward Davies ; Lin Zhang and Ian Bennion "Fibre laser using a microchannel based loss tuning element for refractive index sensing", Proc. SPIE 7503, 20th International Conference on Optical Fibre Sensors, 75035D (October 05, 2009); doi:10.1117/12.834749. Copyright 2009 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.834749
Event Title: 20th International Conference on Optical Fibre Sensors
Event Type: Other
Event Location: Edinburgh
Event Dates: 2009-10-05 - 2009-10-09
Uncontrolled Keywords: photonics, femtosecond laser, microchannel, fibre laser, refractive index sensor, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Applied Mathematics, Condensed Matter Physics
ISBN: 978-0-8194-7814-6
Last Modified: 23 Oct 2019 12:32
Date Deposited: 14 Dec 2012 10:51
Published Date: 2009-10-05
Authors: Mou, Chengbo
Zhou, Kaiming
Davies, Edward
Zhang, Lin
Bennion, Ian

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