Modeling Environment for Numerical Simulation of Applied Electric Fields on Biological Cells

• Published in: Electromagnetic biology and medicine Vol. 26; no. 3; pp. 239 - 250
• Main Authors: Suzuki, Daniela Ota Hisayasu, Ramos, Airton, Marques, Jefferson Luiz Brum
• Format: Journal Article
• Language: English
• Published: England Informa UK Ltd 01.01.2007; Taylor & Francis
• Subjects: Bioelectromagnetism; Biological effects of electromagnetic fields; Biological system modeling; Cell Membrane - physiology; Cell Membrane - radiation effects; Cell Membrane Permeability - physiology; Cell Membrane Permeability - radiation effects; Cell Physiological Phenomena - radiation effects; Computer Simulation; Dose-Response Relationship, Radiation; Electric Stimulation - methods; Electromagnetic Fields; Electroporation - methods; Field calculation; Models, Biological; Numerical Analysis, Computer-Assisted; Radiation Dosage
• ISSN: 1536-8378; 1536-8386
• DOI: 10.1080/15368370701572712

The application of electric pulses in cells increases membrane permeability. This phenomenon is called electroporation. Current electroporation models do not explain all experimental findings: part of this problem is due to the limitations of numerical methods. The Equivalent Circuit Method (ECM) was developed in an attempt to solve electromagnetic problems in inhomogeneous and anisotropic media. ECM is based on modeling of the electrical transport properties of the medium by lumped circuit elements as capacitance, conductance, and current sources, representing the displacement, drift, and diffusion current, respectively. The purpose of the present study was to implement a 2-D cell Model Development Environment (MDE) of ionic transport process, local anisotropy around cell membranes, biological interfaces, and the dispersive behaviour of tissues. We present simulations of a single cell, skeletal muscle, and polygonal cell arrangement. Simulation of polygonal form indicates that the potential distribution depends on the geometrical form of cell. The results demonstrate the importance of the potential distributions in biological cells to provide strong evidences for the understanding of electroporation.