Electrochemical Impedance Spectroscopy for Microbial Fuel Cell Characterization
Narendran Sekar and Ramaraja P Ramasamy*
Nano Electrochemistry Laboratory, College of Engineering, University of Georgia, Athens, USA
- *Corresponding Author:
- Ramaraja P Ramaswamy
Nano Electrochemistry Laboratory
College of Engineering
University of Georgia, Athens
GA 30602, USA
E-mail: [email protected]
Received date: May 30, 2013; Accepted date: July 11, 2013; Published date: July 15, 2013
Citation: Sekar N, Ramasamy RP (2013) Electrochemical Impedance Spectroscopy for Microbial Fuel Cell Characterization. J Microb Biochem Technol S6:004. doi:10.4172/1948-5948.S6-004
Copyright: © 2013 Sekar N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Electrochemical impedance spectroscopy is an efficient, non-intrusive and semi-quantitative technique to characterize the performance of bio-electrochemical systems such as microbial fuel cells and enzymatic fuel cells. Indeed, quantitative interpretation of the impedance data can be obtained with the help of mechanistic models using meaningful equivalent circuits. The production of maximum power using such systems has been limited by their higher internal resistance. The contribution of several different resistances to the overall internal resistance of the system can be ascertained through the measurement of impedance using EIS, which is greatly required for understanding and engineering of its principle components leading to better enhancement of its performance. EIS has been successfully employed in most of the MFC researches helping in advancement of the field through emergence of many novel MFC designs with greater power generating capacity. In a nutshell, impedance spectroscopy provides a valuable addition to the existing biochemical and spectroscopic techniques to better optimize the electrochemical behavior of the biological system.