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SUMMARY:Mathematical modelling of bacterial growth at different scales: nu
merical simulations and laboratory experiments
DTSTART;VALUE=DATE-TIME:20180709T094500Z
DTEND;VALUE=DATE-TIME:20180709T100000Z
DTSTAMP;VALUE=DATE-TIME:20241104T122936Z
UID:indico-contribution-227@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: David Landa Marbán (University of Bergen)\nBiofilms
are sessile communities of bacteria housed in a self-produced adhesive ma
trix consisting of extracellular polymeric substances (EPS)\, including po
lysaccharides\, proteins\, lipids\, and DNA. [1]. Biofilm provokes chronic
bacterial infection\, infection on medical devices\, deterioration of wat
er quality\, and the contamination of food [2]. On the other hand\, biofil
m can be used for wastewater treatment and bioenergy production [3]. In mi
crobial enhanced oil recovery (MEOR)\, one of the strategies is selective
plugging\, where bacteria are used to form biofilm in the high permeable z
ones to diverge the water flow and extract the oil located in the low perm
eable zones [4]. Therefore\, it is necessary to build mathematical models
that better describe the biofilm mechanisms. One of the motivations to der
ive upscaled models is to describe the averaged behaviour of the system in
an accurate manner with relatively low computational effort compared to f
ully detailed calculations starting at the microscale [5]. In the laborato
ry\, biofilm is growth in a T-shape micro-channel. We built a mathematical
model including water flux inside the biofilm and different biofilm compo
nents (EPS\, water\, active bacteria\, and dead bacteria). Using the best
estimate of physical parameters from the existing experiments\, we perform
numerical simulations. The stress coefficient is selected to match the ex
perimental results. A sensitivity analysis is performed to identify the cr
itical model parameters. A reduction of the biofilm coverage area as the w
ater flux velocity increases is observed. Homogenization techniques are ap
plied in a strip and a tube geometry. Numerical simulations are performed
to compare both upscaled mathematical models. In the macro-scale laborator
y experiments\, biofilm is growth in cylindrical cores. Permeability chang
es over time at different flow rates and nutrient concentrations are studi
ed. Numerical simulations are performed to compare with the experimental r
esults. \n\n[1] Aggarwal\, S.\, Stewart\, P. S.\, Hozalski\, R. M. (2015).
Biofilm Cohesive Strength as a Basis for Biofilm Recalcitrance: Are Bacte
rial Biofilms Overdesigned? *Microbiology Insights.* **8s2**\, MBI.S31444.
\n[2] Kokare\, C. R.\, Chakraborty\, S.\, Khopade\, A. N.\, Mahadik\, K. R
(2009). Biofillm: Importance and applications. *Indian J. Biotechnol.* *
*8**\, 159-168.\n[3] Miranda\, A. F. *et al*. (2017). Applications of micr
oalgal biofilms for wastewater treatment and bioenergy production. *Biotec
hnol. Biofuels.* **10**\, 120.\n[4] Raiders\, R. A.\, Knapp\, R. M.\, McIn
erney\, M. J. (1989). Microbial selective plugging and enhanced oil recove
ry. *J. Ind. Microbiol.* **4**(3)\, 215-229.\n[5] van Noorden\, T. L.\, P
op\, I. S.\, Ebigbo\, A.\, Helmig\, R. (2010). An upscaled model for biofi
lm growth in a thin strip. *Water Resour. Res.* **46**\, W06505.\n\nhttps
://conferences.maths.unsw.edu.au/event/2/contributions/227/
LOCATION:University of Sydney Holme Building/--The Refectory
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/227/
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