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Microstructured-core optical fibre for evanescent sensing applications
Open accessAbstract
The development of microstructured fibres offers the prospect of improved fibre sensing for low refractive index materials such as liquids and gases. A number of approaches are possible. Here we present a new approach to evanescent field sensing, in which both core and cladding are microstructured. The fibre was fabricated and tested, and simulations and experimental results are shown in the visible region to demonstrate the utility of this approach for sensing.
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Citations
Cited by
Photonic crystal fibres for chemical sensing and photochemistry
Cubillas, A. M., Unterkofler, S., Euser, T. G., Etzold, B. J. M., Jones, A. C., Sadler, P. J., Wasserscheid, P., & Russell, P. S. J. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60128e · Cited by 300
Mishra, G. P., Kumar, D., Chaudhary, V. S., & Kumar, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3131694 · Cited by 114
Metadata
- Authors
- Cordeiro, C. M. B., Franco, M. A. R., Chesini, G., Barretto, E. C. S., Lwin, R., Brito Cruz, C. H., & Large, M. C. J.
- Venue
- Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2006
- Volume
- 14
- Issue
- 26
- Pages
- 13056
- ISSN
- 1094-4087 (ISSN-L)
- OpenAlex
- W1998638369
- Cited by
- 257
- References
- 0
- FWCI
- 13.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Microstructured-core optical fibre for evanescent sensing applications. https://app.cochat.ai/papers/10.1364/oe.14.013056
- The paper
- Cordeiro, C. M. B., Franco, M. A. R., Chesini, G., Barretto, E. C. S., Lwin, R., Brito Cruz, C. H., & Large, M. C. J. (2006). Microstructured-core optical fibre for evanescent sensing applications. Optics Express. https://doi.org/10.1364/oe.14.013056
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
