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

机译:有毒成分对微生物燃料电池极化曲线的影响及其抑制类型的估算

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摘要

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.
机译:极化曲线对于检测基于微生物燃料电池(MFC)的生物传感器中的有毒成分至关重要。在这项研究中,在添加各种浓度的镍,苯达松,十二烷基硫酸钠和铁氰化钾后,在无毒条件下和有毒条件下绘制了极化曲线。实验极化曲线表明,有毒成分对细胞中的电化学活性细菌有影响。 (扩展的)Butler Volmer Monod(BVM)模型用于描述在无毒和有毒条件下MFC的极化曲线。可以使用线性回归技术将(扩展的)BVM模型正确拟合到极化曲线,并区分不同类型的动力学抑制。对于每种有毒成分,还根据实验数据估算了动力学抑制常数Ki的值。 Ki的值表示传感器对特定成分的灵敏度,因此可用于选择有毒成分的生物传感器。

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