Thursday, November 11, 2010: 4:35 PM
Grand Ballroom H (Marriott Downtown)
We apply of a novel framework for the topological modeling of reaction networks (TMA) for the rational redesign of microbial fuel cell devices. We demonstrate the ability of our approach to quantitatively capture all metabolic activities of the chosen anode microbe agent (Pseudomonas Putida), as well as all electrochemical processes external to the microbe, using a compartmentalized modeling approach within a single framework. We show that a rigorous examination of microbial metabolism and its participation within the fuel cell can reveal targets for genetic redesign of the microbe improving both the overall bioremediation and elecrical poser generation of the fuel cell device. We close by discussing aspects of practically constructing the redesigned fuel cell devices identified using our modeling approach.