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University of Ontario Institute of Technology

Polymer translocation: a nonequilibrium process

Abstract

dc:description.abstract

3D Langevin dynamics simulations of the capture and translocation of polymers through a nanopore are conducted for several polymer lengths and two different Péclet values (that quantify the drift-diffusion balance of the system). By measuring the average conformation of the polymer and the average duration of each stage, simulations of the capture process reveal an elongated polymer approaching the nanopore and either remains elongated or becomes compressed just prior to translocation depending on the drift-diffusion balance. This is in direct contrast with the standard approach of simulating only the translocation process where the polymer is assumed to start translocation in an equilibrated state. The conformational differences directly impact scaling results of the translocation time by polymer length, where, even on a qualitative level, simulations that assume equilibration may yield incorrect results. The capture process is therefore an essential step for modelling and establishes the nonequilibrium nature of the translocation process.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Modelling and Computational Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vollmer, Sarah C.
Advisor dc:contributor.advisor
  • de Haan, Hendrick W.

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/787
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/787

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Vollmer, Sarah C.. Polymer translocation: a nonequilibrium process. University of Ontario Institute of Technology, 2017. https://hdl.handle.net/10155/787