Next Article in Journal / Special Issue
Electrochemical Based Biosensors
Previous Article in Journal
Thiol- and Biotin-Labeled Probes for Oligonucleotide Quartz Crystal Microbalance Biosensors of Microalga Alexandrium Minutum
Previous Article in Special Issue
Peroxide-Dependent Analyte Conversion by the Heme Prosthetic Group, the Heme Peptide “Microperoxidase-11” and Cytochrome c on Chitosan Capped Gold Nanoparticles Modified Electrodes
Biosensors 2012, 2(3), 255-268; doi:10.3390/bios2030255
Article

Effect of Toxic Components on Microbial Fuel Cell-Polarization Curves and Estimation of the Type of Toxic Inhibition

1,2,3,†
, 1,3
, 2
 and 2,*
1 Wetsus, Centre of Excellence for Sustainable Water Technology, P.O. Box 1113, 8900CC Leeuwarden, The Netherlands 2 Systems and Control Group, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands 3 Subdepartment of Environmental Technology, Wageningen University, P.O. Box 8129, 6700 EV Wageningen, The Netherlands Current address: TNO Water Treatment, Postbus 342, 7300 AH Apeldoorn, The Netherlands.
* Author to whom correspondence should be addressed.
Received: 14 June 2012 / Revised: 3 July 2012 / Accepted: 10 July 2012 / Published: 11 July 2012
(This article belongs to the Special Issue Electrochemical Based Biosensors)
View Full-Text   |   Download PDF [378 KB, uploaded 11 July 2012]   |   Browse Figures

Abstract

Polarization curves are of paramount importance for the detection of toxic components in microbial fuel cell (MFC) based biosensors. In this study, polarization curves were made under non-toxic conditions and under toxic conditions after the addition of various concentrations of nickel, bentazon, sodiumdodecyl sulfate and potassium ferricyanide. The experimental polarization curves show that toxic components have an effect on the electrochemically active bacteria in the cell. (Extended) Butler Volmer Monod (BVM) models were used to describe the polarization curves of the MFC under nontoxic and toxic conditions. It was possible to properly fit the (extended) BVM models using linear regression techniques to the polarization curves and to distinguish between different types of kinetic inhibitions. For each of the toxic components, the value of the kinetic inhibition constant Ki was also estimated from the experimental data. The value of Ki indicates the sensitivity of the sensor for a specific component and thus can be used for the selection of the biosensor for a toxic component.
Keywords: toxicity detection; microbial fuel cell; biosensor; least square estimation; linear regression toxicity detection; microbial fuel cell; biosensor; least square estimation; linear regression
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

Stein, N.E.; Hamelers, H.V.M.; van Straten, G.; Keesman, K.J. Effect of Toxic Components on Microbial Fuel Cell-Polarization Curves and Estimation of the Type of Toxic Inhibition. Biosensors 2012, 2, 255-268.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Biosensors EISSN 2079-6374 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert