Dataset for 'Development of an Infection-Responsive Fluorescent Sensor for the Early Detection of Urinary Catheter Blockage'

Dataset for 'Development of an Infection-Responsive Fluorescent Sensor for the Early Detection of Urinary Catheter Blockage'

Formation of crystalline biofilms following infection by Proteus mirabilis can lead to encrustation and blockage of long-term indwelling catheters, with serious clinical consequences. We describe a simple sensor, placed within the catheter drainage bag, to alert of impending blockage via a urinary colour change. The dataset presented shows data from the characterisation and testing of the prototype sensors, Including: investigation into the fluorescent properties of 5(6)-carboxyfluorescein (CF) (fluorescence output vs CF concentration and fluorescence output vs solution pH), change in pH vs time for P. mirabilis subcultures and bacterial supernatants, corresponding dye release vs time, as well as data from the testing of the sensors within the in vitro bladder model system (change in fluorescence output within the drainage bag and approximate CF concentration with time). Investigation into the initial dye release kinetics was also undertaken and the data presented in this dataset. Standard curves at three different pHs (6,7 and 8) are presented as well as the overlaid release profiles over time.

Subjects:
Materials sciences
Medical and health interface
Microbial sciences

Cite this dataset as:
Milo, S., Acosta, F., Hathaway, H., Wallace, L., Thet, N., Jenkins, T., 2018. Dataset for 'Development of an Infection-Responsive Fluorescent Sensor for the Early Detection of Urinary Catheter Blockage'. University of Bath. https://doi.org/10.15125/BATH-00430.

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Data

Bladder_Model_T ... pse_%281%29.mp4
video/mp4 (10MB)
Creative Commons: Attribution 4.0

Time lapse video of lozenge sensor in catheter drainage bags of in vitro bladder models

Lozenge_Paper.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (27kB)
Creative Commons: Attribution 4.0

Evaluation of lozenge sensor performance in vitro. Including Fluorescence vs pH and intial release kinetics

Bacterial_subcu ... test_images.zip
application/zip (514kB)
Creative Commons: Attribution 4.0

Fluorescence intensity change with time in bacterial subculture (urease positive and negative)

Bacterial_super ... test_images.zip
application/zip (88kB)
Creative Commons: Attribution 4.0

Fluorescence intensity over time in bacterial supernatant (urease positive and negative)

Bladder_model_p ... test_images.zip
application/zip (1MB)
Creative Commons: Attribution 4.0

Assessment of prototype sensors within in vitro bladder models

Lozenge_sensor_appearance.zip
application/zip (185kB)
Creative Commons: Attribution 4.0

Images of the appearance of the lozenge sensors

Creators

Scarlet Milo
University of Bath

Florianne Bianca Acosta
University of Bath

Hollie Hathaway
University of Bath

Laura Wallace
University of Bath

Naing Thet
University of Bath

Toby Jenkins
University of Bath

Coverage

Collection date(s):

From 3 August 2015 to 30 August 2017

Documentation

Data collection method:

A plate reader (BMG Labtech) was used to quantify fluorescent output throughout these experiments. Basic bacterial subculturing was used from a single bacterial colony, to create subcultures. To create supernatants, overnight cultures were centrifuged at 4000 rpm for 10 minutes and the supernatant separated from the pellet.

Data processing and preparation activities:

All data were processed in GraphPad Prism software. Graphs were plotted and statistical analysis (unpaired t test) were performed within the same software.

Technical details and requirements:

Equipment: Electronic pH meter (Jenway) Plate reader (BMG fluorostar) Software: GraphPad Prism 7.02 for Windows

Funders

Annette Charitable Trust

PhD studentship
EH-CH1208

Biotechnology and Biological Sciences Research Council (BBSRC)
https://doi.org/10.13039/501100000268

Public Health England PhD Studentship
RC-CH1172

Medical Research Council (MRC)
https://doi.org/10.13039/501100000265

Development of an Infection Detecting Wound Dressing
MR/N006496/1

Paul Hartmann AG

PhD Studentship
RE-CH1217A

Publication details

Publication date: 2018
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00430

URL for this record: https://researchdata.bath.ac.uk/id/eprint/430

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Scarlet Milo

Departments:

Faculty of Science
Chemistry