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Polymer translocation through extended patterned pores in two dimensions: scaling of the total translocation time

Andri Sharma, Abhishek Chaudhuri, Rajeev Kapri

TL;DR

This study analyzes driven polymer translocation through extended patterned pores in two dimensions, revealing a robust finite-size scaling form $\langle \tau \rangle \sim N^{\gamma} \mathcal{F}(L_p N^{\phi})$ with $\gamma \approx 3.0$ and $\phi \approx 1.5$ for both patterned and unpatterned pores. The results show a geometry–drive competition: in short cylindrical pores, increasing $L_p$ accelerates translocation, while in long conical pores the decreasing axial drive can slow progress, with patterning further modulating exit residence. The scaling function decays as a power law with geometry-dependent exponents ($p \approx 0.85$ for cylindrical, $p \approx 0.6$–$0.8$ for conical/patterned pores), and the exponent relation $\beta \approx \gamma - (\phi p)/2$ links $N$- and $L_p$-dependence. These findings provide design principles for nanopore transport and a quantitative framework for patterning-based discrimination in driven translocation, though extensions to 3D with hydrodynamics are needed for direct experimental comparison.

Abstract

We study the translocation of a flexible polymer through extended patterned pores using molecular dynamics (MD) simulations. We consider cylindrical and conical pore geometries that can be controlled by the angle of the pore apex $α$. We obtained the average translocation time $\langle τ\rangle$ for various chain lengths $N$ and the length of the pores $L_p$ for various values $α$ and found that $\langle τ\rangle$ scales as $\langle τ\rangle \sim N^γ\mathcal{F}\left( L_p N^φ\right)$ with exponents $γ= 3.00\pm0.05$ and $φ= 1.50\pm0.05$ for both patterned and unpatterned pores.

Polymer translocation through extended patterned pores in two dimensions: scaling of the total translocation time

TL;DR

This study analyzes driven polymer translocation through extended patterned pores in two dimensions, revealing a robust finite-size scaling form with and for both patterned and unpatterned pores. The results show a geometry–drive competition: in short cylindrical pores, increasing accelerates translocation, while in long conical pores the decreasing axial drive can slow progress, with patterning further modulating exit residence. The scaling function decays as a power law with geometry-dependent exponents ( for cylindrical, for conical/patterned pores), and the exponent relation links - and -dependence. These findings provide design principles for nanopore transport and a quantitative framework for patterning-based discrimination in driven translocation, though extensions to 3D with hydrodynamics are needed for direct experimental comparison.

Abstract

We study the translocation of a flexible polymer through extended patterned pores using molecular dynamics (MD) simulations. We consider cylindrical and conical pore geometries that can be controlled by the angle of the pore apex . We obtained the average translocation time for various chain lengths and the length of the pores for various values and found that scales as with exponents and for both patterned and unpatterned pores.

Paper Structure

This paper contains 8 sections, 6 equations, 7 figures.

Figures (7)

  • Figure 1: Top row shows a schematic diagram of pore-polymer set up for translocation in two-dimensions. The pore is 5 beads long with a half apex angle $\alpha$. The pore diameter on the cis end is $d=2.25\sigma$, whereas it is $y = d + 2L_p \tan \alpha$ on the trans end. The flexible polymer is made up of beads with diameter $\sigma=1$ connected with springs. The subsequent rows show patterned pores with different pore lengths, $L_{p}=$ 5, 10, and 15, respectively. The blue beads are attractive while the yellow and green beads are repulsive in interaction with polymer chain.
  • Figure 2: Plots showing the variation of $\tau$ vs. $\alpha$ behavior, with the change of pore-length, $L_{p}$. Here, the polymer is flexible with length $N$ of 128 beads, and pore-length varies from 5$\sigma$ to 10$\sigma$.
  • Figure 3: $\langle \tau \rangle$ as a function of $N$ (in log-log scale) for three different driving forces when the polymer is translocating from an extended cylindrical pore (i.e., $\alpha = 0$) of length (a) $L_p = 5\sigma$, and (b) $L_p = 10\sigma$. The slopes mentioned in the plot are the values of the translocation exponent, $\beta$, defined by $\langle \tau \rangle \sim N^{\beta}$, for different driving forces.
  • Figure 4: $\langle \tau \rangle / N^{\gamma}$ as a function of $L_p N^{\phi}$ for an extended pore ($\alpha = 0$) for three different driving forces (a) 0.2, (b) 0.6, and (c) 1.0. The lines are the scaling function $\mathcal{F}(x)\sim 1/x^p$ with exponent $p=0.85$.The dashed line above (below) is for exponent value $p = 0.80 \ (p = 0.90)$
  • Figure 5: Comparison of $\tau$ vs. $\alpha$ for three different pore sizes $L_{p}=$ 5, 10 and 15 for two different forces $f_{0}= 0.6$ and 1.0. The length $N$ of the flexible polymer chain is 128 beads.
  • ...and 2 more figures