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Driven translocation of a semi-flexible polymer through a nanopore
- Source :
- Scientific Reports, Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017), Sarabadani, J, Ikonen, T, Mökkönen, H, Ala-Nissila, T, Carson, S & Wanunu, M 2017, ' Driven translocation of a semi-flexible polymer through a nanopore ', Scientific Reports, vol. 7, no. 1, 7423 . https://doi.org/10.1038/s41598-017-07227-3
- Publication Year :
- 2017
- Publisher :
- Nature Publishing Group UK, 2017.
-
Abstract
- We study the driven translocation of a semi-flexible polymer through a nanopore by means of a modified version of the iso-flux tension propagation theory, and extensive molecular dynamics (MD) simulations. We show that in contrast to fully flexible chains, for semi-flexible polymers with a finite persistence length $${\tilde{{\boldsymbol{\ell }}}}_{{\boldsymbol{p}}}$$ ℓ ˜ p the trans side friction must be explicitly taken into account to properly describe the translocation process. In addition, the scaling of the end-to-end distance RN as a function of the chain length N must be known. To this end, we first derive a semi-analytic scaling form for RN, which reproduces the limits of a rod, an ideal chain, and an excluded volume chain in the appropriate limits. We then quantitatively characterize the nature of the trans side friction based on MD simulations. Augmented with these two factors, the theory shows that there are three main regimes for the scaling of the average translocation time τ ∝ N α . In the rod $${\boldsymbol{N}}{\boldsymbol{/}}{\tilde{{\boldsymbol{\ell }}}}_{{\boldsymbol{p}}}{\boldsymbol{\ll }}1$$ N / ℓ ˜ p ≪ 1 , Gaussian $${\boldsymbol{N}}{\boldsymbol{/}}{\tilde{{\boldsymbol{\ell }}}}_{{\boldsymbol{p}}}\sim {\bf{1}}{{\bf{0}}}^{{\bf{2}}}$$ N / ℓ ˜ p ∼ 1 0 2 and excluded volume chain $${\boldsymbol{N}}{\boldsymbol{/}}{\tilde{{\boldsymbol{\kappa }}}}_{{\boldsymbol{p}}}$$ N / κ ˜ p ≫ 10 6 limits, α = 2, 3/2 and 1 + ν, respectively, where ν is the Flory exponent. Our results are in good agreement with available simulations and experimental data.
- Subjects :
- Science
FOS: Physical sciences
02 engineering and technology
Condensed Matter - Soft Condensed Matter
Molecular Dynamics Simulation
01 natural sciences
Article
Nanopores
0103 physical sciences
Ideal chain
010306 general physics
chemistry.chemical_classification
Physics
Multidisciplinary
business.industry
Polymer
DNA
021001 nanoscience & nanotechnology
Nanopore
Chain length
Crystallography
chemistry
Models, Chemical
Exponent
Medicine
Soft Condensed Matter (cond-mat.soft)
Artificial intelligence
0210 nano-technology
business
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....e1651b752c7958bc17d5a04b26640ff8
- Full Text :
- https://doi.org/10.1038/s41598-017-07227-3