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Depositordc.contributorTanner, Michael G
Funderdc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_UK
Data Creatordc.creatorTanner, Michael G
Date Accessioneddc.date.accessioned2019-05-13T09:14:21Z
Date Availabledc.date.available2019-05-13T09:14:21Z
Citationdc.identifier.citationTanner, 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.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/3325
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2546
Dataset Description (abstract)dc.description.abstractPhysiological 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.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburghen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://doi.org/10.1038/s41598-019-44077-7en_UK
Relation (Is Referenced By)dc.relation.isreferencedby"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
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subject Classificationdc.subject.classificationPhysical Sciencesen_UK
Titledc.titleData and code for: High fidelity fibre-based physiological sensing deep in tissueen_UK
Typedc.typedataseten_UK

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