Dataset for 'An in-situ infection detection sensor coating for urinary catheters'
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.
This dataset present raw data from the trial of the prototype catheter coatings within the in vitro bladder model system. The data presented details the change in bacterial biomass within residual bladder urine over time, as well as the consequent changes in urine pH and fluorescence output as a result of coating dissolution.
Cite this dataset as:
Milo, S.,
Thet, N.,
Liu, D.,
Nzakizwanayo, J.,
Jones, B.,
Jenkins, T.,
2017.
Dataset for 'An in-situ infection detection sensor coating for urinary catheters'.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00429.
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Data
catheters_removed.png
image/png (3MB)
Creative Commons: Attribution 4.0
Catheters removed from bladder models infected with P.mirabilis with coating (left) and without coating (right).
Biosensors … Bioelectronics.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (14kB)
Creative Commons: Attribution 4.0
Analysis of in vitro bladder model conditions during prototype catheter coating trial. Including bacterial concentration (CFU/ml), residual urine pH and fluorescence of residual bladder urine
Images_of_bladder_models.zip
application/zip (4MB)
Creative Commons: Attribution 4.0
Images of residual urine within bladder models from models containing coated catheters inoculates with P. mirabilis and E. coli, as well as the uninoculated control.
Creators
Scarlet Milo
University of Bath
Naing Tun Thet
University of Bath
Dan Liu
University of Bath
Jonathan Nzakizwanayo
University of Brighton
Brian Jones
University of Brighton
Toby Jenkins
University of Bath
Contributors
University of Bath
Rights Holder
Coverage
Collection date(s):
From 3 August 2015 to 10 January 2016
Documentation
Data collection method:
Measurement of bacterial count within bladder models by measuring CFU/ml at various time points after serial dilution into PBS buffer and plating on NSLB agar. Visual evaluation of coating release into artificial urine. Evaluation of fluorescent output with time using plate reader endpoint measurements.
Data processing and preparation activities:
All data were processed in GraphPad Prism software. Graphs were plotted and statistical analysis (2-way ANOVA) were perfomed within the same software.
Technical details and requirements:
Equipment: Electronic pH meter (Jenway) Plate reader (BMG fluorostar) Software: GraphPad Prism 7
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Encapsulated Phage for Treatment of Burns and Wound Site Infections
EP/I027602/1
Seventh Framework Programme
https://doi.org/10.13039/501100004963
Bacteriosafe – Active Wound Dressings Based on Biological Mimicry
245500
Annett Trust
PhD studentship
EH-CH1208
Dunhill Medical Trust
https://doi.org/10.13039/501100000377
Evaluating the potential for efflux inhibitors to control infection, encrustation, and blockage of urinary catheters
R394/1114
Publication details
Publication date: 2017
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00429
URL for this record: https://researchdata.bath.ac.uk/429
Related papers and books
Milo, S., Thet, N. T., Liu, D., Nzakizwanayo, J., Jones, B. V., and Jenkins, A. T. A., 2016. An in-situ infection detection sensor coating for urinary catheters. Biosensors and Bioelectronics, 81, 166-172. Available from: https://doi.org/10.1016/j.bios.2016.02.059.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Scarlet Milo
Faculty of Science
Chemistry
