| dc.contributor |
EPSRC - Engineering and Physical Sciences Research Council |
|
| dc.contributor |
Tanner, Michael G |
|
| dc.creator |
Tanner, Michael G |
|
| dc.date |
2019-05-13T09:14:21Z |
|
| dc.date |
2019-05-13T09:14:21Z |
|
| dc.date.accessioned |
2023-02-17T20:53:28Z |
|
| dc.date.available |
2023-02-17T20:53:28Z |
|
| dc.identifier |
Tanner, Michael G. (2019). Data and code for: High fidelity fibre-based physiological sensing deep in tissue, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2546. |
|
| dc.identifier |
https://hdl.handle.net/10283/3325 |
|
| dc.identifier |
https://doi.org/10.7488/ds/2546 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244117 |
|
| dc.description |
Physiological sensing deep in tissue, remains a clinical challenge. Here a flexible miniaturised sensing optrode providing a platform to perform minimally invasive in vivo in situ measurements is reported. Silica microspheres covalently coupled with a high density of ratiometrically configured fluorophores were deposited into etched pits on the distal end of a 150 µm diameter multicore optical fibre. With this platform, photonic measurements of pH and oxygen concentration with high precision in the distal alveolar space of the lung are reported. We demonstrated the phenomenon that high-density deposition of carboxyfluorescein covalently coupled to silica microspheres shows an inverse shift in fluorescence in response to varying pH. This platform delivered fast and accurate measurements (± 0.02 pH units and ± 0.6 mg/L of oxygen), near instantaneous response time and a flexible architecture for addition of multiple sensors. |
|
| dc.format |
application/zip |
|
| dc.format |
text/plain |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh |
|
| dc.relation |
https://doi.org/10.1038/s41598-019-44077-7 |
|
| dc.relation |
"High fidelity fibre-based physiological sensing deep in tissue"
Tushar R. Choudhary, Michael G. Tanner, Alicia Megia-Fernandez, Kerrianne Harrington, Harry A. Wood, Adam Marshall, Patricia Zhu, Sunay V. Chankeshwara, Debaditya Choudhury, Graham Monro, Muhammed Ucuncu, Fei Yu, Rory R. Duncan, Robert R. Thomson, Kevin Dhaliwal & Mark Bradley
Scientific Reports 9, Article number: 7713 (2019). DOI: 10.1038/s41598-019-44077-7 |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.subject |
Physical Sciences |
|
| dc.title |
Data and code for: High fidelity fibre-based physiological sensing deep in tissue |
|
| dc.type |
dataset |
|