Literature DB >> 28322439

Modeling multidimensional and multispecies biofilms in porous media.

Youneng Tang1, Haihu Liu2.   

Abstract

Modeling multidimensional and multispecies biofilm in porous media at the pore scale is challenging due to the need to simultaneously track the microbial community in the biofilms and the interfaces between the biofilms and the fluid. Therefore, researchers usually assume that the model has only one dimension in space or has only one microbial species. This work uses bioremediation of U(VI)-contaminated groundwater as the context to develop a two-dimensional and multispecies biofilm model. The model simulates the transverse mixing zone in which U(VI) is mixed with propionate, a nutrient externally supplied to stimulate the growth of microorganisms. The model considers multiple interactions among fluid flow, transport and reaction of chemical species, and growth of biofilm. The biofilm consists of two types of active biomass (syntrophs and dissimilatory metal reducing bacteria [DMBR]) and inert biomass. The two types of active biomass collaboratively remove U(VI). The model outputs biomass distribution, chemical species concentrations, and fluid flow at the pore scale to fundamentally study the multiple interactions. The model also outputs the contaminant removal rate that can be potentially used for up-scaling studies. The simulated results are generally consistent with experimental observations from other studies in trend. The trend can be explained by the multiple interactions based on thermodynamics and microbial kinetics. Biotechnol. Bioeng. 2017;114: 1679-1687.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  biofilm model; bioremediation; cellular automaton; pore scale; syntroph; uranium

Mesh:

Substances:

Year:  2017        PMID: 28322439     DOI: 10.1002/bit.26292

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


  3 in total

Review 1.  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

2.  A Multi-Skilled Mathematical Model of Bacterial Attachment in Initiation of Biofilms.

Authors:  Kanchana Chathoth; Louis Fostier; Bénédicte Martin; Christine Baysse; Fabrice Mahé
Journal:  Microorganisms       Date:  2022-03-23

3.  Low-Field Nuclear Magnetic Resonance Characteristics of Biofilm Development Process.

Authors:  Yajun Zhang; Yusheng Lin; Xin Lv; Aoshu Xu; Caihui Feng; Jun Lin
Journal:  Microorganisms       Date:  2021-11-29
  3 in total

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