Evaluation of Performance of Enzymatic Biofuel Cells with Microelectrode Arrays Inside a Blood Artery via Finite Element Approach
Enzymatic biofuel cells (EBFCs) are considered as a promising candidate for powering miniature implantable devices. In order to predict the performance in the human blood artery, we simulated a 3D EBFC chip with highly dense micro-electrode arrays. In this simulation using COMSOL Multiphysics®, we applied the 1) Michaelis Menten equation; 2) Nernst potential equation; 3) Navier Strokes velocity, and 4) Fick’s diffusion law to couple with three modules, and the conductive media DC model, electro-kinetic model, and incompressible Navier-Stokes model.
Based on our previous results on design rule and orientation in the blood artery, the main focus of this research is further extended to investigate diffusion phenomenon of glucose, output potential, current density and power density of the EBFC chip under transient state.