Abstract

JIMENEZ-ESCAMILLA, Maxvell Gustavo; GARIBAY-ORIJEL, Claudio  and  BORJA-SALIN, Manuel Antonio. BIOCHEMICALLY STRUCTURED MODEL FOR ESTIMATING THE EFFICIENCY OF A MICROBIAL FUEL CELL. Rev. Int. Contam. Ambient [online]. 2018, vol.34, n.2, pp.331-345. ISSN 0188-4999.  https://doi.org/10.20937/rica.2018.34.02.13.

A preliminary study focused on modeling microbial fuel cells through microbial yields was performed. A mathematical model to determine the quantity of charge generated over time in the anodic chamber of a microbial fuel cell, using Escherichia coli as the electrogenic organism, was designed. This model was used in order to estimate the electrical efficiency of microbial yields such as biomass, substrate, and product, and the stoichiometric coefficients of the species aforementioned. The mathematical model constructed described microbial growth using a logistical population model, giving a coefficient of determination of R2 = 0.960 between the model and the experimental data for the substrate, and R2 = 0.982 for the biomass. Using this electrical charge prediction model, future studies will focus primarily on measuring the experimental microbial yields and stoichiometric coefficients of electrogenic organisms in order to test the viability of this cell implementation.

Keywords : microbial growth; modeling; bioenergy; renewable energy.

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