27 November 2012 Photonics crystal fiber Raman sensors
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Proceedings Volume 8559, Information Optics and Optical Data Storage II; 855902 (2012); doi: 10.1117/12.999491
Event: Photonics Asia, 2012, Beijing, China
Abstract
Hollow core photonic crystal fiber (HCPCF) employs a guiding mechanism fundamentally different from that in conventional index guiding fibers. In an HCPCF, periodic air channels in a glass matrix act as reflectors to confine light in an empty core. As a result, the interaction between light and glass can be very small. Therefore, HCPCF has been used in applications that require extremely low non-linearity, high breakdown threshold, and zero dispersion. However, their applications in optical sensing, especially in chemical and biological sensing, have only been extensively explored recently. Besides their well-recognized optical properties the hollow cores of the fibers can be easily filled with liquid or gas, providing an ideal sampling mechanism in sensors. Recently, we have demonstrated that by filling up a HCPCF with gas or liquid samples, it is possible to significantly increase the sensitivity of the sensors in either regular Raman or surface enhanced Raman scattering (SERS) applications. This is because the confinement of both light and sample inside the hollow core enables direct interaction between the propagating wave and the analyte. In this paper, we report our recent work on using HCPCF as a platform for Raman or SERS in the detection of low concentration greenhouse gas (ambient CO2), biomedically significant molecules (e.g., glucose), and bacteria. We have demonstrated that by filling up a HCPCF with gas or liquid samples, it is possible to significantly increase the sensitivity of the sensors in either regular Raman or SERS applications.
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Xuan Yang, Tiziana C. Bond, Jin Z. Zhang, Yat Li, Claire Gu, "Photonics crystal fiber Raman sensors", Proc. SPIE 8559, Information Optics and Optical Data Storage II, 855902 (27 November 2012); doi: 10.1117/12.999491; http://dx.doi.org/10.1117/12.999491
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KEYWORDS
Raman spectroscopy

Glucose

Sensors

Surface enhanced Raman spectroscopy

Bacteria

Gas sensors

Molecules

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