Literature DB >> 25163572

Modeling of biofilm systems: a review.

Harald Horn1, Susanne Lackner.   

Abstract

The modeling of biochemical processes in biofilms is more complex compared to those in suspended biomass due to the existence of substrate gradients. The diffusion and reaction of substrates within the biofilms were simulated in 1D models in the 1970s. The quality of these simulation results was later improved by consideration of mass transfer at the bulk/biofilm interface and detachment of biomass from the surface. Furthermore, modeling of species distribution along the axis perpendicular to the substratum helped to simulate productivity and long-term behavior in multispecies biofilms. Multidimensional models that were able to give a realistic prediction of the surface structure of biofilms were published in the 1990s. The 2D or 3D representation of the distribution of the species in a matrix of extracellular polymeric substances (EPS) helped predict the behavior of multispecies biofilm systems. The influence of shear forces on such 2D or 3D biofilm structures was included by solving the Navier-Stokes equation for the liquid phase above the biofilm. More recently, the interaction between the fluid and biofilm structures was addressed more seriously by no longer considering the biofilm structures as being rigid. The latter approach opened a new door, enabling one to describe biofilms as viscoelastic systems that are not only able to grow and produce but also be deformed or even dislodged if external forces are applied.

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Year:  2014        PMID: 25163572     DOI: 10.1007/10_2014_275

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  15 in total

1.  Quantitative and Qualitative Assessment Methods for Biofilm Growth: A Mini-review.

Authors:  Christina Wilson; Rachel Lukowicz; Stefan Merchant; Helena Valquier-Flynn; Jeniffer Caballero; Jasmin Sandoval; Macduff Okuom; Christopher Huber; Tessa Durham Brooks; Erin Wilson; Barbara Clement; Christopher D Wentworth; Andrea E Holmes
Journal:  Res Rev J Eng Technol       Date:  2017-10-24

Review 2.  Continuum and discrete approach in modeling biofilm development and structure: a review.

Authors:  M R Mattei; L Frunzo; B D'Acunto; Y Pechaud; F Pirozzi; G Esposito
Journal:  J Math Biol       Date:  2017-07-24       Impact factor: 2.259

3.  How can biological modeling help cell biology?

Authors:  Elizabeth Sztul
Journal:  Cell Logist       Date:  2017-11-14

4.  Microbial competition in porous environments can select against rapid biofilm growth.

Authors:  Katharine Z Coyte; Hervé Tabuteau; Eamonn A Gaffney; Kevin R Foster; William M Durham
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-22       Impact factor: 11.205

5.  Modeling Reveals the Role of Aging and Glucose Uptake Impairment in L1A1 Listeria monocytogenes Biofilm Life Cycle.

Authors:  Eva Balsa-Canto; Carlos Vilas; Alejandro López-Núñez; Maruxa Mosquera-Fernández; Romain Briandet; Marta L Cabo; Carlos Vázquez
Journal:  Front Microbiol       Date:  2017-11-01       Impact factor: 5.640

6.  A mechanistic Individual-based Model of microbial communities.

Authors:  Pahala Gedara Jayathilake; Prashant Gupta; Bowen Li; Curtis Madsen; Oluwole Oyebamiji; Rebeca González-Cabaleiro; Steve Rushton; Ben Bridgens; David Swailes; Ben Allen; A Stephen McGough; Paolo Zuliani; Irina Dana Ofiteru; Darren Wilkinson; Jinju Chen; Tom Curtis
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

7.  Modeling of Mesoscale Variability in Biofilm Shear Behavior.

Authors:  Pallab Barai; Aloke Kumar; Partha P Mukherjee
Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

8.  Computer simulation study of early bacterial biofilm development.

Authors:  Rafael D Acemel; Fernando Govantes; Alejandro Cuetos
Journal:  Sci Rep       Date:  2018-03-28       Impact factor: 4.379

9.  Functional characterization of a novel arachidonic acid 12S-lipoxygenase in the halotolerant bacterium Myxococcus fulvus exhibiting complex social living patterns.

Authors:  Kateryna Goloshchapova; Sabine Stehling; Dagmar Heydeck; Maximilian Blum; Hartmut Kuhn
Journal:  Microbiologyopen       Date:  2018-12-17       Impact factor: 3.139

10.  Spatiotemporal modeling of microbial metabolism.

Authors:  Jin Chen; Jose A Gomez; Kai Höffner; Poonam Phalak; Paul I Barton; Michael A Henson
Journal:  BMC Syst Biol       Date:  2016-03-01
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