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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Energy Environ Sci. 2012 Nov 15;6(2):595–607. doi: 10.1039/C2EE23394K

Table 1. Diffusion coefficients in electrochemically active biofilm models.

Three diffusion coefficient assumptions are considered: 1) the diffusion coefficient is an effective value; 2) there is diffusion coefficient spatial variability; and 3) there is diffusion coefficient temporal variability. An effective diffusion coefficient (De) takes into account hindered diffusion caused by the porous nature of the biofilm matrix. De are smaller in magnitude than the free bulk liquid diffusion coefficient (Daq). Spatial variability takes into account biofilm structural heterogeneity and allows for the diffusion coefficients to change with location in the biofilm. Temporal variability takes into account the non-steady state nature of biofilms and allows the diffusion coefficients to change with time as the biofilm grows or changes morphology. This is a non-exhaustive list curated from the Thomson Reuters Web of KnowledgeSM database, ordered by publication date. Electrochemically active biofilm (EAB) models that do not rely on diffusive mass transport in the biofilm are not included (i.e., convection-only models).

Biofilm Diffusion Coefficients
Citation Article Model Description Dimensions Effective Spatial
Variability
Temporal
Variability
57, 58 Picioreanu et al., 2007 and 2008 Biofilm-based microbial fuel cells 1D,2D,3D Yes None None
59 Marcus et al., 2007 Conduction-based biofilm anode (Nernst-Monod) 1D Yes None None
60 Picioreanu et al., 2010 pH and electrode geometry in microbial fuel cell 2D No None None
61 Marcus et al., 2010 Electromigration impact on biofilm anode (PCBIOFILM) 1D Yes Yes* None
62 Marcus et al., 2011 Biofilm-based microbial electrolysis cell (PCBIOFILM) 1D Yes None None
63 Strycharz et al., 2011 Cyclic voltammetry of Geobacter biofilm 1D No None None
64 Merkey and Chopp, 2012 Anode geometry in microbial fuel cell 2D Yes None None

This model provides qualitative analysis of EAB cyclic voltammograms and uses diffusion coefficient values several orders of magnitude larger than realistic values.

*

The consideration of migration causes an apparent change in the diffusion coefficient of charged solutes based on the electric field magnitude, which is a function of distance in this model.