Modelling the Dynamics of P. aeruginosa in the Formation of Biofilms

The accumulation, growth, and re-mobilization of pathogens on the pipe walls in drinking water distribution systems are processes that affect the risk of exposure at the tap. We present a model that uses the Buckingham Pi theory to embody the physics of Pseudomonas aeruginosa accumulation and move within the system. We apply it to model experimental data from a biofilm annular reactor operated in conditions that are commensurate with the flow in DWDS. By calibrating the model for this benchtop system, we intend to identify the most important physical parameters for use in a simpler, more prudent model, for application in large-scale DWDS.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.3390/engproc2024069141
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling the Dynamics of P. aeruginosa in the Formation of Biofilms

Frances C. Pick, D. S. Bhandari, Joby Boxall, Cindy J. Smith et al.
Granular flow and fluidized beds
article

Modelling the Dynamics of P. aeruginosa in the Formation of Biofilms

Frances C. Pick, D. S. Bhandari, Joby Boxall, Cindy J. Smith, E. Tsagkari, William T. Sloan, Katherine E. Fish, Siming You, Dominic Quinn
article en

Abstract

The accumulation, growth, and re-mobilization of pathogens on the pipe walls in drinking water distribution systems are processes that affect the risk of exposure at the tap. We present a model that uses the Buckingham Pi theory to embody the physics of Pseudomonas aeruginosa accumulation and move within the system. We apply it to model experimental data from a biofilm annular reactor operated in conditions that are commensurate with the flow in DWDS. By calibrating the model for this benchtop system, we intend to identify the most important physical parameters for use in a simpler, more prudent model, for application in large-scale DWDS.

University of Glasgow (GB), University of Sheffield (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 82%
Granular flow and fluidized beds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.