cysA,cysP,and rpoS mutations increase the power density in *** microbial fuel cells:Performing enhancement based on metabolic flux analysis
作者机构：Grupo de Diseno de Productos y Procesos(GDPP)Departamento de Ingenieria QuimicaUniversidad de los AndesBogotaColombia Grupo de Investigacion en Produccion y Logistica(PYLO)Departamento de Ingenieria IndustrialUniversidad de los AndesBogotaColombia Laboratorio de Electroquimica y Materiales PolimericosDepartamento de QuimicaUniversidad de los AndesBogotaColombia Centro de Investigaciones Microbiologicas(CIMIC)Departamento de Ciencias BiologicasUniversidad de los AndesBogotaColombia
出 版 物：《Advances in Bioscience and Biotechnology》 (生命科学与技术进展（英文）)
年 卷 期：2013年第4卷第1期
页 面：103-111页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Component Formatting Style Styling Insert
摘 要：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 power 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/m2. Electron shuttle rise was qualitative corroborated trough cyclic voltammetry tests, which allowed to visualize the augment of the peaks for rpoS mutation.
维普期刊数据库