Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/124691
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Distributed optical fiber sensing of micron-scale particles |
Author: | Peng, L. Li, J. McLaughlin, R.A. Ebendorff-Heidepriem, H. Warren-Smith, S.C. |
Citation: | Sensors and Actuators A: Physical, 2020; 303:1-6 |
Publisher: | Elsevier |
Issue Date: | 2020 |
ISSN: | 0924-4247 0924-4247 |
Statement of Responsibility: | Lu Peng, Jiawen Li, Robert A. McLaughlin, Heike Ebendorff-Heidepriem, Stephen C. Warren-Smith |
Abstract: | Distributed sensing of micron-scale particles is achieved with an exposed-core microstructured optical fiber using optical frequency domain reflectometry. The reference and sample signals of the interferometer are generated in the same fiber path, which gives this fully fiber-integrated sensor the potential to be used as a portable probe for in-vivo sensing. This sensing concept has great advantages over reported single-point fiber sensors due to its distributed sensing property. We demonstrate the technique using 10 μm polystyrene beads, by detecting their locations along the fiber through backscatter of the exposed-core fiber’s evanescent field. A simplified theoretical model is proposed to estimate the relationship between the particle’s size and detection distance after considering the system’s inherent losses. The proposed sensing platform offers opportunities for distributed sensing of biological targets. |
Keywords: | Distributed sensing; microstructured optical fiber; optical fiber sensing; interference |
Rights: | © 2019 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.sna.2019.111762 |
Grant ID: | http://purl.org/au-research/grants/arc/CE140100003 |
Published version: | http://dx.doi.org/10.1016/j.sna.2019.111762 |
Appears in Collections: | Aurora harvest 4 Medicine publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.