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Effect of toxic components on microbial fuel cell-polarization curves and estimation of the type of toxic inhibition.

Stein NE, Hamelers HV, van Straten G, Keesman KJ - Biosensors (Basel) (2012)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Wetsus, Centre of Excellence for Sustainable Water Technology, P.O. Box 1113, 8900CC Leeuwarden, The Netherlands. nienke.stein@tno.nl.

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.

No MeSH data available.


Related in: MedlinePlus

Polarization curves under clean conditions (dot) and when ferricyanide is present in the sensor at a dosage of (a) 0.5 mM (trangle) or (b) 2 mM (cross). Model Itox (solid line) and model IK2 (dot-dash-dot) are fitted to data from the curves with ferricyanide.
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biosensors-02-00255-f003: Polarization curves under clean conditions (dot) and when ferricyanide is present in the sensor at a dosage of (a) 0.5 mM (trangle) or (b) 2 mM (cross). Model Itox (solid line) and model IK2 (dot-dash-dot) are fitted to data from the curves with ferricyanide.

Mentions: At 0.5 mM FeCN63− the fit of model IK2 is 3.7 times better than model Itox. When the concentration is increased, model Itox fits better. The factor is more or less the same. This means that model IK2 does not fit significantly better at 0.5 mM than model Itox at 2 mM. Thus as the fits are equally good, there is a change in the mode of inhibition of ferricyanide with increasing concentration. Figure 3 shows the fit of model Itox and IK2 for the polarization curves with FeCN63−.


Effect of toxic components on microbial fuel cell-polarization curves and estimation of the type of toxic inhibition.

Stein NE, Hamelers HV, van Straten G, Keesman KJ - Biosensors (Basel) (2012)

Polarization curves under clean conditions (dot) and when ferricyanide is present in the sensor at a dosage of (a) 0.5 mM (trangle) or (b) 2 mM (cross). Model Itox (solid line) and model IK2 (dot-dash-dot) are fitted to data from the curves with ferricyanide.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4263553&req=5

biosensors-02-00255-f003: Polarization curves under clean conditions (dot) and when ferricyanide is present in the sensor at a dosage of (a) 0.5 mM (trangle) or (b) 2 mM (cross). Model Itox (solid line) and model IK2 (dot-dash-dot) are fitted to data from the curves with ferricyanide.
Mentions: At 0.5 mM FeCN63− the fit of model IK2 is 3.7 times better than model Itox. When the concentration is increased, model Itox fits better. The factor is more or less the same. This means that model IK2 does not fit significantly better at 0.5 mM than model Itox at 2 mM. Thus as the fits are equally good, there is a change in the mode of inhibition of ferricyanide with increasing concentration. Figure 3 shows the fit of model Itox and IK2 for the polarization curves with FeCN63−.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Wetsus, Centre of Excellence for Sustainable Water Technology, P.O. Box 1113, 8900CC Leeuwarden, The Netherlands. nienke.stein@tno.nl.

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.

No MeSH data available.


Related in: MedlinePlus