| Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
|---|---|---|
| Article Number | 09009 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting (TOM) 9- Applications in Optics and Photonics | |
| DOI | https://doi.org/10.1051/epjconf/202328709009 | |
| Published online | 18 October 2023 | |
https://doi.org/10.1051/epjconf/202328709009
NonInvasive Glucose Fiber Sensor Based on Self-Imaging Technique: Proof of Concept
1 Department of Physics and Astronomy, Faculty of Sciences of University of Porto, Porto, Portugal
2 INESC TEC – Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
* Corresponding author: susana.novais@inesctec.pt
Published online: 18 October 2023
This paper proposes a proof of concept for a reflective fiber optic sensor based on multimode interference, designed to measure glucose concentrations in aqueous solutions that mimic the range of glucose concentrations found in human saliva. The sensor is fabricated by splicing a short section of coreless silica fiber into a standard single-mode fiber. By studying the principles of multimode interference and Self-imaging it was developed a sensing head that has a total length of 29.1 mm, approximately equal to the second self-image cycle. This sensing head allowed us to detect low concentrations of glucose (ranging from 0 to 268 mg/dl).
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.