Issue |
EPL
Volume 121, Number 6, March 2018
|
|
---|---|---|
Article Number | 68006 | |
Number of page(s) | 7 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/121/68006 | |
Published online | 18 May 2018 |
Effect of solvent viscosity on driven translocation of a semi-flexible chain through a nano-pore
Department of Physics, University of Central Florida - Orlando, FL 32816-2385, USA
Received: 18 October 2017
Accepted: 27 April 2018
We study the effect of the solvent viscosity on the translocation dynamics of a semi-flexible polymer through a nano-pore. We use Langevin dynamics (LD) simulation in two dimensions (2D) and demonstrate that at low viscosity a stiffer chain translocates through a nano-pore faster compared to a more flexible chain and that the order of this translocation time is reversed in the high-viscosity regime. Our simulation data shows a non-monotonic dependence of the mean first passage time (MFPT) on solvent viscosity resulting in a minimum in the MFPT at a particular value of the solvent viscosity. The qualitative behavior of the MFPT of the translocating chain above and below this minimum is different. We have found that the value of the solvent viscosity corresponding to this minimum in MFPT depends on chain stiffness, chain length, applied external bias, and pore radius. We provide physically motivating arguments based on the tension propagation (TP) theory of Sakaue and draw an analogy with the Kramers turnover effect for the non-monotonic dependence of MPFT on viscosity.
PACS: 87.15.A- – Theory, modeling, and computer simulation / 87.15.H- – Dynamics of biomolecules / 36.20.-r – Macromolecules and polymer molecules
© EPLA, 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.