Effect of Toxic Components on Microbial Fuel Cell-Polarization Curves and Estimation of the Type of Toxic Inhibition
| Autor: | Karel J. Keesman, Hubertus V.M. Hamelers, G. van Straten, Nienke E. Stein |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Microbial fuel cell
analytical parameters Clinical Biochemistry Least square estimation chemistry.chemical_compound Urban Development bentazon Organic chemistry Built Environment WT - Water Treatment Linear regression Polarization (electrochemistry) article General Medicine cell polarity Systems and Control Group regel- en systeemtechniek Milieutechnologie EELS - Earth Environmental and Life Sciences lcsh:Biotechnology Earth & Environment Inorganic chemistry Kinetics chemistry.chemical_element Biomass Refinery and Process Dynamics Environment Article bentazon 25057-89-0 nickel toxicity testing lcsh:TP248.13-248.65 toxicity detection microbial fuel cell biosensor least square estimation linear regression controlled study potassium ferricyanide polarization curve model nonhuman WIMEK Bentazon Butler–Volmer equation Leerstoelgroep Meet- regel- en systeemtechniek Toxicity detection bacterial cell dodecyl sulfate sodium Potassium ferricyanide Nickel chemistry kinetics sensitivity and specificity Environmental Technology Biosensor Leerstoelgroep Meet |
| Zdroj: | Biosensors Biosensors 2 (2012) 3 Biosensors; Volume 2; Issue 3; Pages: 255-268 Biosensors, 3, 2, 255-268 Biosensors, Vol 2, Iss 3, Pp 255-268 (2012) Biosensors, 2(3), 255-268 |
| ISSN: | 2079-6374 |
| DOI: | 10.3390/bios2030255 |
| Popis: | 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. © 2012 by the authors. |
| Databáze: | OpenAIRE |
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