Stochastic sensing of polynucleotides using patterned nanopores

TL;DR

This paper investigates how patterned nanopores influence polymer translocation, revealing that pore structure critically affects translocation times and enabling a rapid, robust stochastic sensing method for polynucleotides.

Contribution

It introduces a novel stochastic sensing protocol leveraging pore patterning to distinguish polynucleotide sequences efficiently.

Findings

Translocation times depend exponentially on pore stickiness.

Patterned pores cause sequence-dependent translocation behaviors.

Proposed sensing method is faster and can be made highly robust.

Abstract

The effect of the microscopic structure of a pore on polymer translocation is studied using Langevin dynamics simulation, and the consequence of introducing patterned stickiness inside the pore is investigated. It is found that the translocation process is extremely sensitive to the detailed structure of such patterns with faster than exponential dependence of translocation times on the stickiness of the pore. The stochastic nature of the translocation process leads to discernable differences between how polymers with different sequences go through specifically patterned pores. This notion is utilized to propose a stochastic sensing protocol for polynucleotides, and it is demonstrated that the method, which would be significantly faster than the existing methods, could be made arbitrarily robust.