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Dynamic Modeling of Anode Function in Enzyme-Based Biofuel Cells Using High Mediator Concentration

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  • Der-Sheng Chan

    (Department of Chemical and Materials Engineering, Lee-Ming Institute of Technology, Tai-Sham 24305, Taiwan)

  • Der-Jong Dai

    (Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-Li 32003, Taiwan)

  • Ho-Shing Wu

    (Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-Li 32003, Taiwan)

Abstract

The working principle of enzyme-based biofuel cells (EBFCs) is the same as that of conventional fuel cells. In an EBFC system, the electricity-production process is very intricate. Analysis requires a mathematical model that can adequately describe the EBFC and predict its performance. This paper develops a dynamic model simulating the discharge performance of the anode for which supported glucose oxidase and mediator immobilize in the EBFC. The dynamic transport behavior of substrate, redox state (ROS) of enzyme, enzyme-substrate complex, and the mediator creates different potential changes inside the anode. The potential-step method illustrates the dynamic phenomena of substrate diffusion, ROS of enzyme, production of enzyme-substrate complex, and reduction of the mediator with different potential changes.

Suggested Citation

  • Der-Sheng Chan & Der-Jong Dai & Ho-Shing Wu, 2012. "Dynamic Modeling of Anode Function in Enzyme-Based Biofuel Cells Using High Mediator Concentration," Energies, MDPI, vol. 5(7), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:7:p:2524-2544:d:18919
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    References listed on IDEAS

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    1. Ivan Ivanov & Tanja Vidaković-Koch & Kai Sundmacher, 2010. "Recent Advances in Enzymatic Fuel Cells: Experiments and Modeling," Energies, MDPI, vol. 3(4), pages 1-44, April.
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    Cited by:

    1. Violetta Vasilenko & Irina Arkadeva & Vera Bogdanovskaya & George Sudarev & Sergei Kalenov & Marco Vocciante & Eleonora Koltsova, 2020. "Glucose-Oxygen Biofuel Cell with Biotic and Abiotic Catalysts: Experimental Research and Mathematical Modeling," Energies, MDPI, vol. 13(21), pages 1-21, October.

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