Abstract
We describe a novel infection-responsive coating for urinary catheters that provides a clear visual early warning of Proteus mirabilis infection and subsequent blockage. The crystalline biofilms of P. mirabilis can cause serious complications for patients undergoing long-term bladder catheterisation. Healthy urine is around pH 6, bacterial urease increases urine pH leading to the precipitation of calcium and magnesium deposits from the urine, resulting in dense crystalline biofilms on the catheter surface that blocks urine flow. The coating is a dual layered system in which the lower poly(vinyl alcohol) layer contains the self-quenching dye carboxyfluorescein. This is capped by an upper layer of the pH responsive polymer poly(methyl methacrylate-co-methacrylic acid) (Eudragit S100®). Elevation of urinary pH (>pH 7) dissolves the Eudragit layer, releasing the dye to provide a clear visual warning of impending blockage. Evaluation of prototype coatings using a clinically relevant in vitro bladder model system demonstrated that coatings provide up to 12 h advanced warning of blockage, and are stable both in the absence of infection, and in the presence of species that do not cause catheter blockage. At the present time, there are no effective methods to control these infections or provide warning of impending catheter blockage.
Original language | English |
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Pages (from-to) | 166-172 |
Number of pages | 7 |
Journal | Biosensors and Bioelectronics |
Volume | 81 |
Early online date | 26 Feb 2016 |
DOIs | |
Publication status | Published - 15 Jul 2016 |
Keywords
- Carboxyfluorescein
- Catheter-associated urinary tract infections
- Hydrogels
- Proteus mirabilis
- Sensor
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Toby Jenkins
- Department of Chemistry - Professor
- Centre for Bioengineering & Biomedical Technologies (CBio)
- Institute of Sustainability and Climate Change
Person: Research & Teaching, Affiliate staff
Datasets
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Dataset for 'An in-situ infection detection sensor coating for urinary catheters'
Milo, S. (Creator), Thet, N. T. (Creator), Liu, D. (Creator), Nzakizwanayo, J. (Creator), Jones, B. (Creator) & Jenkins, T. (Creator), University of Bath, 2017
DOI: 10.15125/BATH-00429
Dataset