In this paper, two-dimensional steady-state and dynamic models for an enzymatic fuel cell are developed. The anode consists of a biocatalyst (an enzyme cascade of glucose dehydrogenase and diaphorase with VK3 mediator) immobilized in a porous electrically-conducting anode, while glucose and the phosphate buffer are supplied from a solution. An air-breathing bilirubin oxidase/ferricyanide cathode and a cellophane membrane complete the cell unit. Detailed mass and charge balances are combined with a model for the reaction mechanism in the electrodes. The model is validated against experimental polarization data, demonstrating good agreement, and the dynamic performance is discussed. The VK3 equilibrium potential is varied and its effect on th...
Dynamic mathematical models represent a useful tool in portraying unsteady-state behavior and unders...
Microbial fuel cells (MFCs) are promising for simultaneous treatment of wastewater and energy produc...
Metabolic Control Analysis was for the first time applied to artificial networks in the context of b...
In this paper, two-dimensional steady-state and dynamic models for an enzymatic fuel cell are develo...
Multi-dimensional steady-state and dynamic models for an enzymatic fuel cell are developed. In the m...
Enzymatic fuel cells convert the chemical energy of biofuels into electrical energy. Unlike traditio...
Derivation of a mathematical model for microbial fuel cells (MFC) with suspended biomass and added e...
The present work concerns a depolarization type bioelectrochemical fuel-cell with a bioanode consist...
Recent developments in bio-fuel cell technology are reviewed. A general introduction to bio-fuel cel...
Recent developments in bio-fuel cell technology are reviewed. A general introduction to bio-fuel cel...
In this work, a dynamic computational model is developed for a single chamber microbial fuel cell (M...
Studies on Microbial Fuel Cells (MFC) as Power production units are of increasing interest, because ...
International audienceUsing redox enzymes as biocatalysts in fuel cells is an attractive strategy fo...
The use of biofuel cells (BFC) is a promising approach to generate electricity. BFC can be successfu...
Using redox enzymes as biocatalysts in fuel cells is an attractive strategy for sustainable energy p...
Dynamic mathematical models represent a useful tool in portraying unsteady-state behavior and unders...
Microbial fuel cells (MFCs) are promising for simultaneous treatment of wastewater and energy produc...
Metabolic Control Analysis was for the first time applied to artificial networks in the context of b...
In this paper, two-dimensional steady-state and dynamic models for an enzymatic fuel cell are develo...
Multi-dimensional steady-state and dynamic models for an enzymatic fuel cell are developed. In the m...
Enzymatic fuel cells convert the chemical energy of biofuels into electrical energy. Unlike traditio...
Derivation of a mathematical model for microbial fuel cells (MFC) with suspended biomass and added e...
The present work concerns a depolarization type bioelectrochemical fuel-cell with a bioanode consist...
Recent developments in bio-fuel cell technology are reviewed. A general introduction to bio-fuel cel...
Recent developments in bio-fuel cell technology are reviewed. A general introduction to bio-fuel cel...
In this work, a dynamic computational model is developed for a single chamber microbial fuel cell (M...
Studies on Microbial Fuel Cells (MFC) as Power production units are of increasing interest, because ...
International audienceUsing redox enzymes as biocatalysts in fuel cells is an attractive strategy fo...
The use of biofuel cells (BFC) is a promising approach to generate electricity. BFC can be successfu...
Using redox enzymes as biocatalysts in fuel cells is an attractive strategy for sustainable energy p...
Dynamic mathematical models represent a useful tool in portraying unsteady-state behavior and unders...
Microbial fuel cells (MFCs) are promising for simultaneous treatment of wastewater and energy produc...
Metabolic Control Analysis was for the first time applied to artificial networks in the context of b...