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Lookup NU author(s): Dr Oluwole Oyebamiji, Professor Darren Wilkinson, Dr Jayathilake Pahala Gedara, Professor Stephen Rushton, Dr Bowen LiORCiD, Professor Ben BridgensORCiD, Dr Paolo Zuliani
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
We investigate the feasibility of using a surrogate-based method to emulate thedeformation and detachment behaviour of a biofilm in response to hydrodynamic shearstress. The influence of shear force, growth rate and viscoelastic parameters on thepatterns of growth, structure and resulting shape of microbial biofilms was examined.We develop a statistical modelling approach to this problem, using combination ofBayesian Poisson regression and dynamic linear models for the emulation. Weobserve that the hydrodynamic shear force affects biofilm deformation in line with someliterature. Sensitivity results also showed that the expected number of shear events,shear flow, yield coefficient for heterotrophic bacteria and extracellular polymericsubstance (EPS) stiffness per unit EPS mass are the four principal mechanismsgoverning the bacteria detachment in this study. The sensitivity of the modelparameters is temporally dynamic, emphasising the significance of conducting thesensitivity analysis across multiple time points. The surrogate models are shown toperform well, and produced ~480 fold increase in computational efficiency. Weconclude that a surrogate-based approach is effective, and resulting biofilm structure isdetermined primarily by a balance between bacteria growth, viscoelastic parametersand applied shear stress.
Author(s): Oyebamiji OK, Wilkinson DJ, Pahala-Gedara J, Rushton SP, Li B, Bridgens B, Zuliani P
Publication type: Article
Publication status: Published
Journal: PLOS ONE
Year: 2018
Volume: 13
Issue: 4
Online publication date: 12/04/2018
Acceptance date: 24/03/2018
Date deposited: 04/04/2018
ISSN (electronic): 1932-6203
Publisher: Public Library of Science
URL: https://doi.org/10.1371/journal.pone.0195484
DOI: 10.1371/journal.pone.0195484
Data Access Statement: http://dx.doi.org/10.17634/123172-3
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