Literature DB >> 10417214

Cellular growth in biofilms.

B D Wood1, S Whitaker.   

Abstract

In this paper we develop a macroscopic evolutionary equation for the growth of the cellular phase starting from a microscopic description of mass transport and a simple structured model for product formation. The methods of continuum mechanics and volume averaging are used to develop the macroscopic representation by carefully considering the fluxes of chemical species that pertain to cell growth. The concept of structured models is extended to include the transport of reacting chemical species at the microscopic scale. The resulting macroscopic growth model is similar in form to previously published models for the transport of a single substrate and electron donor and for the production of cellular mass and exopolymer. The method of volume averaging indicates under what conditions the developed growth model is valid and provides an explicit connection between the relevant microscopic model parameters and their corresponding macroscopic counterparts. Copyright 1999 John Wiley & Sons, Inc.

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Year:  1999        PMID: 10417214     DOI: 10.1002/(sici)1097-0290(19990920)64:6<656::aid-bit4>3.0.co;2-n

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  3 in total

1.  Particle-based multidimensional multispecies biofilm model.

Authors:  Cristian Picioreanu; Jan-Ulrich Kreft; Mark C M Van Loosdrecht
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

2.  Simulation of single-species bacterial-biofilm growth using the Glazier-Graner-Hogeweg model and the CompuCell3D modeling environment.

Authors:  Nikodem J Popławski; Abbas Shirinifard; Maciej Swat; James A Glazier
Journal:  Math Biosci Eng       Date:  2008-04       Impact factor: 2.080

Review 3.  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 in total

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