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University of Ontario Institute of Technology

Simulation and modelling to develop a nanopore-based device for ricin detection

Abstract

dc:description.abstract

Nanopore-based protein detection represents an exciting opportunity to develop ultrasensitive diagnostic devices that are both portable and affordable. Aptamer-encoded nanopores detect target molecules by binding to them to facilitate a corresponding blockage of ionic flow through the pore. Molecular dynamics simulations are an effective method of quantitatively and qualitatively studying key design features and mechanisms of current blockage. This work uses coarse-grained Langevin dynamics simulations to explore various aptamer-encoded nanopore systems to facilitate the design of diagnostic devices to detect the bioterror agent, ricin. The optimal signal-to-noise ratio occurred when ricin could occupy and interact in a stable manner within a pore cylinder that was similar in size, as predicted by the steric exclusion model of current blockage. Interestingly, under certain conditions, ricin also elicited ionic current selectivity. The results presented in this thesis have practical implications for device design, and the methodology is well-positioned to efficiently study related systems.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Applied Bioscience
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hurlburt, Timothy B.
Advisor dc:contributor.advisor
  • de Haan, Hendrick

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1513
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1513

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

Hurlburt, Timothy B.. Simulation and modelling to develop a nanopore-based device for ricin detection. University of Ontario Institute of Technology, 2022. https://hdl.handle.net/10155/1513