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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 for a clean sensor (dots) and with 20 mg/L Ni present (squares). The data for 20 mg/L Ni were used to fit to model Itox (solid line), IK1 (dash), and IK2 (dot-dash-dot) using weighted least squares techniques.
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biosensors-02-00255-f002: Polarization curves for a clean sensor (dots) and with 20 mg/L Ni present (squares). The data for 20 mg/L Ni were used to fit to model Itox (solid line), IK1 (dash), and IK2 (dot-dash-dot) using weighted least squares techniques.

Mentions: The sum of squared errors (JN) is a measure for the quality of the fit. A smaller value of JN indicates a better fit. Hence, in Table 1 model Itox gives the best result. The fits are shown in Figure 2. The fits for model IK1 and IK2 are not very good, while the fit for model Itox is much better.


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 for a clean sensor (dots) and with 20 mg/L Ni present (squares). The data for 20 mg/L Ni were used to fit to model Itox (solid line), IK1 (dash), and IK2 (dot-dash-dot) using weighted least squares techniques.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

biosensors-02-00255-f002: Polarization curves for a clean sensor (dots) and with 20 mg/L Ni present (squares). The data for 20 mg/L Ni were used to fit to model Itox (solid line), IK1 (dash), and IK2 (dot-dash-dot) using weighted least squares techniques.
Mentions: The sum of squared errors (JN) is a measure for the quality of the fit. A smaller value of JN indicates a better fit. Hence, in Table 1 model Itox gives the best result. The fits are shown in Figure 2. The fits for model IK1 and IK2 are not very good, while the fit for model Itox is much better.

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