RT Journal Article
T1 Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
A1 Carpio Rodríguez, Ana María
A1 Cebrián, Elena
AB The dynamics of cellular aggregates is driven by the interplay of mechanochemical processes and cellular activity. Although deterministic models may capture mechanical features, local chemical fluctuations trigger random cell responses, which determine the overall evolution. Incorporating stochastic cellular behavior in macroscopic models of biological media is a challenging task. Herein, we propose hybrid models for bacterial biofilm growth, which couple a two phase solid/fluid mixture description of mechanical and chemical fields with a dynamic energy budget-based cellular automata treatment of bacterial activity. Thin film and plate approximations for the relevant interfaces allow us to obtain numerical solutions exhibiting behaviors observed in experiments, such as accelerated spread due to water intake from the environment, wrinkle formation, undulated contour development, and the appearance of inhomogeneous distributions of differentiated bacteria performing varied tasks.
PB https://www.mdpi.com/
SN 1099-4300
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/7544
UL https://hdl.handle.net/20.500.14352/7544
LA eng
NO Carpio Rodríguez, A. M. y Cebrián, E. «Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models». Entropy, vol. 22, n.o 2, febrero de 2020, p. 188. DOI.org (Crossref), https://doi.org/10.3390/e22020188.
DS Docta Complutense
RD 23 abr 2025