Hollow-Core Photonic Crystal Fibers for Surface-Enhanced Raman Scattering Probes
Joint Authors
Yang, Xuan
Newhouse, Rebecca
Zhang, Jin Z.
Gu, Claire
Shi, Chao
Source
International Journal of Optics
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-04-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Photonic crystal fiber (PCF) sensors based on surface-enhanced Raman scattering (SERS) have become increasingly attractive in chemical and biological detections due to the molecular specificity, high sensitivity, and flexibility.
In this paper, we review the development of PCF SERS sensors with emphasis on our recent work on SERS sensors utilizing hollow-core photonic crystal fibers (HCPCFs).
Specifically, we discuss and compare various HCPCF SERS sensors, including the liquid-filled HCPCF and liquid-core photonic crystal fibers (LCPCFs).
We experimentally demonstrate and theoretically analyze the high sensitivity of the HCPCF SERS sensors.
Various molecules including Rhodamine B, Rhodamine 6G, human insulin, and tryptophan have been tested to show the excellent performance of these fiber sensors.
American Psychological Association (APA)
Yang, Xuan& Shi, Chao& Newhouse, Rebecca& Zhang, Jin Z.& Gu, Claire. 2011. Hollow-Core Photonic Crystal Fibers for Surface-Enhanced Raman Scattering Probes. International Journal of Optics،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-496172
Modern Language Association (MLA)
Yang, Xuan…[et al.]. Hollow-Core Photonic Crystal Fibers for Surface-Enhanced Raman Scattering Probes. International Journal of Optics No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-496172
American Medical Association (AMA)
Yang, Xuan& Shi, Chao& Newhouse, Rebecca& Zhang, Jin Z.& Gu, Claire. Hollow-Core Photonic Crystal Fibers for Surface-Enhanced Raman Scattering Probes. International Journal of Optics. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-496172
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496172