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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Selective resonant diffusion of ions in an artificial analogue of a biological filter
AU - Gibby, William A. T.
AU - Barabash, Miraslau L.
AU - Luchinsky, Dmitry G.
AU - McClintock, Peter
AU - Khovanov, Igor A.
PY - 2024/3/25
Y1 - 2024/3/25
N2 - We study selective ionic diffusion in a single-walled carbon nanotube (CNT). The wall is charged so as to mimic the structure of the selectivity filters in biological ion channels. We use all-atom molecular dynamics simulations to demonstrate that a charged CNT can closely reproduce many of the selectivity and conductivity properties of the KcsA biological channel. A K+/Na+ selectivity ratio ≳150 and a conduction current Ftable ≳50 pA are demonstrated. It is shown that ionic Coulomb blockade is the key phenomenon underlying the CNT conduction properties. Coulomb blockade theory is used to estimate the excess chemical potential of the ions in the channel and the channel capacitance.
AB - We study selective ionic diffusion in a single-walled carbon nanotube (CNT). The wall is charged so as to mimic the structure of the selectivity filters in biological ion channels. We use all-atom molecular dynamics simulations to demonstrate that a charged CNT can closely reproduce many of the selectivity and conductivity properties of the KcsA biological channel. A K+/Na+ selectivity ratio ≳150 and a conduction current Ftable ≳50 pA are demonstrated. It is shown that ionic Coulomb blockade is the key phenomenon underlying the CNT conduction properties. Coulomb blockade theory is used to estimate the excess chemical potential of the ions in the channel and the channel capacitance.
U2 - 10.1109/ICNF57520.2023.10472750
DO - 10.1109/ICNF57520.2023.10472750
M3 - Conference contribution/Paper
SN - 9798350330120
SP - 1
EP - 4
BT - 2023 International Conference on Noise and Fluctuations (ICNF)
PB - IEEE
ER -