Thin-film lubrication model for biofilm expansion under strong adhesion

, Harding, Brendan, Green, J. Edward F., Balasuriya, Sanjeeva, & Binder, Benjamin J. (2022) Thin-film lubrication model for biofilm expansion under strong adhesion. Physical Review E, 105(1), Article number: 014408.

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Description

Understanding microbial biofilm growth is important to public health because biofilms are a leading cause of persistent clinical infections. In this paper, we develop a thin-film model for microbial biofilm growth on a solid substratum to which it adheres strongly. We model biofilms as two-phase viscous fluid mixtures of living cells and extracellular fluid. The model explicitly tracks the movement, depletion, and uptake of nutrients and incorporates cell proliferation via a nutrient-dependent source term. Notably, our thin-film reduction is two dimensional and includes the vertical dependence of cell volume fraction. Numerical solutions show that this vertical dependence is weak for biologically feasible parameters, reinforcing results from previous models in which this dependence was neglected. We exploit this weak dependence by writing and solving a simplified one-dimensional model that is computationally more efficient than the full model. We use both the one- and two-dimensional models to predict how model parameters affect expansion speed and biofilm thickness. This analysis reveals that expansion speed depends on cell proliferation, nutrient availability, cell-cell adhesion on the upper surface, and slip on the biofilm-substratum interface. Our numerical solutions provide a means to qualitatively distinguish between the extensional flow and lubrication regimes, and quantitative predictions that can be tested in future experiments.

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ID Code: 241177
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
Additional Information: Funding Information: A.K.Y.T. acknowledges funding from the A. F. Pillow Applied Mathematics Trust, from the Australian Government under the Research Training Program, and from the Australian Research Council (ARC), under Grant No. DP180102956. J.E.F.G. acknowledges support from the School of Mathematical Sciences and the Faculty of Engineering, Computer and Mathematical Sciences, University of Adelaide, through the Special Studies Programme, and from the ARC (Grant No. DE130100031). S.B. acknowledges funding from the ARC (Grant No. DP200101764). B.J.B. and B.H. acknowledge funding from the ARC (Grant No. DP160102644).
Measurements or Duration: 15 pages
DOI: 10.1103/PhysRevE.105.014408
ISSN: 2470-0045
Pure ID: 139084994
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Mathematical Sciences
Funding Information: A.K.Y.T. acknowledges funding from the A. F. Pillow Applied Mathematics Trust, from the Australian Government under the Research Training Program, and from the Australian Research Council (ARC), under Grant No. DP180102956. J.E.F.G. acknowledges support from the School of Mathematical Sciences and the Faculty of Engineering, Computer and Mathematical Sciences, University of Adelaide, through the Special Studies Programme, and from the ARC (Grant No. DE130100031). S.B. acknowledges funding from the ARC (Grant No. DP200101764). B.J.B. and B.H. acknowledge funding from the ARC (Grant No. DP160102644).
Copyright Owner: 2022 American Physical Society
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Deposited On: 05 Jul 2023 04:41
Last Modified: 29 Feb 2024 13:38