Optimization of cell conditions for enzymatic fuel cell using statistical analysis

Jeon, Seungwoo; Lee, Jin Young; Lee, Jong Ho; Kang, Seong Woo; Park, Chul Hwan; Kim, Seung Wook

doi:10.1016/j.jiec.2008.01.006

Cited by 19 publications

(11 citation statements)

References 16 publications

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“…The use of the modeling approach [7] to interpret the behavior of enzymatic fuel cells is not so common in the literature. The enzymatic fuel cells models include reaction kinetics, transport phenomena [8,9], statistical analyses [10] and metabolic analyses [11]. There is a single channel [8] for flow of each anolyte and catholyte stream.…”

Section: Introductionmentioning

confidence: 99%

Physical Modeling of the Enzymatic Glucose-Fuelled Fuel Cells

Rubin¹,

Mor

2013

ACES

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An enzymatic glucose biofuel cell uses glucose as fuel and enzymes as biocatalyst, to transform biochemical energy into electrical energy. An analytical modelling of an enzymatic biofuel cell should be used, while developing fuel cell, to estimate its various enzymatic parameters, to obtain the highest voltage feasibly. The analytical model was developed, and the open circuit voltage (OCV) calculated by the model for various parameters of the fuel cell is in agreement with the experimental results. The OCV is interpreted by using this model, based on theoretical consideration of ions transportation in the solution. The generation and consumptions of the ions near the electrodes were defined in the model by exponential approximations, with different depletion coefficients. The model reveals that increasing the rates of hydrogen ions generation and (or) consumption by enzyme or chemical reactions leads to a higher value of OCV. The model points that the OCV is saturated with a glucose concentration and increased logarithmically with a surface enzyme concentration. Hence, a low glucose concentration is sufficient to obtain adequate OCV, on the one hand, but it can be increased by increasing electrode surface porosity, on the other hand. This model can be expanded to include time and close circuit voltage.

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Section: Introductionmentioning

confidence: 99%

Physical Modeling of the Enzymatic Glucose-Fuelled Fuel Cells

Rubin¹,

Mor

2013

ACES

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“…Therefore it is important to evaluate concentrations and a gradient of hydrogen ions in a fuel cell. The hydrogen ions concentration in the region 0 < x < L was calculated by Equation (14). The concentrations as a function of the distance x, when 0 < x < L (Figure 1) are plotted for different diffusion coefficients of hydrogen ions and different values of total enzyme concentrations.…”

Section: Hydrogen Ions Concentrationmentioning

confidence: 99%

“…Modelling biofuel cells play important role in understanding and developing new devices. The enzymatic fuel cells mathematical models are based on a system of non-linear equations, including reaction kinetics, transport phenomena [12] [13], statistical analysis [14], metabolic analysis [15]. There is a single channel [12] for flow of each anolyte and catholyte streams.…”

Section: Introductionmentioning

confidence: 99%

Current-Voltage Modeling of the Enzymatic Glucose Fuel Cells

Rubin¹

2015

ACES

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“…The literature contains several modeling strategies for enzymatic electrodes [46][47][48][49] and enzymatic biosensors [32], but modeling of enzymatic electrodes has been researched more thoroughly. Mathematical models of enzymatic electrodes in the literature usually consider the enzymatic reaction and the material balance of species which are participating in the enzymatic reaction.…”

Section: Introductionmentioning

confidence: 99%

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

Chan

Dai

2012

Energies

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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.

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Optimization of cell conditions for enzymatic fuel cell using statistical analysis

Cited by 19 publications

References 16 publications

Physical Modeling of the Enzymatic Glucose-Fuelled Fuel Cells

Physical Modeling of the Enzymatic Glucose-Fuelled Fuel Cells

Current-Voltage Modeling of the Enzymatic Glucose Fuel Cells

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

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