Propagation of the change in the membrane potential using a biocell-model

文献情報

出版日 2016-03-31

DOI 10.1039/C5CP07446K

インパクトファクター 3.676

著者

Yoshinari Takano, Osamu Shirai, Yuki Kitazumi, Kenji Kano

原文を見る

要旨

A new model system of nerve conduction, which has two sites (the potential-sending and the potential-receiving sites) was constructed by the use of some liquid-membrane cells which mimic the function of the K+ and Na+ channels. The model system setup was such that the membrane potential of the K+-channel cell (resting potential) was different from that of the Na+-channel cell (action potential). Initially, the K+-channel cell at the potential-sending site was connected to that at the potential-receiving site. After switching from the K+-channel cell to the Na+-channel cell at the potential-sending site, the membrane potential of the K+-channel cell at the potential-receiving site began to vary with the generation of the circulating current. By placing several K+-channel cells in parallel at the potential-receiving site, the propagation mechanism of the action potential was interpreted and the influence of the resistor and the capacitor on the propagation was evaluated.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.