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<i>cysA, cysP, and rpoS</i> mutations increase the power density in <i>P. aeruginosa</i> microbial fuel cells: Performing enhancement based on metabolic flux analysis

¹ Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia
² Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia
³ Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia
⁴ Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia
⁵ Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia
⁶ Grupo de Investigación en Producción y Logística (PYLO), Departamento de Ingeniería Industrial, Universidad de los Andes, Bogotá, Colombia
⁷ Laboratorio de Electroquímica y Materiales Poliméricos, Departamento de Química, Universidad de los Andes, Bogotá, Colombia
⁸ Centro de Investigaciones Microbiológicas (CIMIC), Departamento de Ciencias Biológicas, Universidad de los Andes, Bogotá, Colombia
⁹ Grupo de Dise?o de Productos y Procesos (GDPP), Departamento de Ingeniería Química, Universidad de los Andes, Bogotá, Colombia

Advances in Bioscience and Biotechnology·Volume 04 (2013)·Pages 103–111·Published 17 January 2013·DOI10.4236/abb.2013.41015

Abstract

This study presents the simulation of a MFC with Pseudomonas aeruginosa based on a metabolic flux analysis (MFA) which arises as a linear programming model that served as input for the fuel cell model. The linear model was implemented in Xpress MP ? and the coupling model in Comsol Multiphysics ? . The in silico model predicted maximum potentials of 0.135 V which were consistent with those obtained in the experimental cell. Afterwards, an optimization platform based on multiobjective optimization approach was implemented aimed to determine genes that increase the average cell power. cysA , cysP and rpoS mutants which were predicted to increase the p ower of the cell, were experimentally tested with an air cathode fuel cell finding an augment up to 35-fold in the average power density for the rpoS mutant. Power densities were obtained through experimentation in the range of [0.13 - 5] mW/m 2 . Electron shuttle rise was qualitative corroborated trough cyclic voltammetry tests, which allowed to visualize the augment of the peaks for rpoS mutation.

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<i>cysA, cysP, and rpoS</i> mutations increase the power density in <i>P. aeruginosa</i> microbial fuel cells: Performing enhancement based on metabolic flux analysis

Abstract

References (31)