Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/84753
Type: Thesis
Title: Modelling interaction of DNA with carbon nanostructures.
Author: Alshehri, Mansoor Hassan S.
Issue Date: 2014
School/Discipline: School of Mathematical Sciences
Abstract: This thesis focuses on the development of mathematical models for the interaction between deoxyribonucleic acid molecules (DNA) and certain carbon nanostructures. We model such atomic interactions by adopting the 6-12 Lennard-Jones potential and the continuum approach. The latter assumes that a discrete atomic structure can be replaced with an average constant atomic surface density of atoms that is assumed to be smeared over each molecule, in our case a DNA molecule and a carbon nanostructure. First, we develop a mathematical model for the interaction between a deoxyribonucleic acid molecule and a carbon nanotube, and we examine the storage of DNA molecules in carbon nanotubes. Following earlier authors, the carbon nanotube is modelled as a right circular cylinder, while the helical structure of the DNA molecule is modelled as a continuously twisted ribbon. We next determine the binding energies between DNA molecules interacting with a graphene sheet, and finally, we determine the binding energies of a C₆₀ fullerene interacting with a DNA molecule. Experiments in nanotechnology are often expensive and time consuming, and mathematical models and numerical simulations are necessary to complement the efforts of experimentalists and to confirm observed experimental outcomes. Despite recent improvements in the rapidity of numerical simulations, they can be more time consuming than the direct evaluation of an analytical expression arising from a mathematical model, because of the large numbers of atoms and force-field calculations that may be involved. Although a mathematical model will necessarily include many assumptions and approximations, nevertheless often the main physical parameters and optimal configurations can be accurately predicted. The model calculations presented here for ideal systems, represent average outcomes, and generally there is good agreement with any existing numerical results that are obtained from more intensive computational schemes. Here, we model the mechanics of the encapsulation of DNA molecules in carbon nanotubes to determine the optimal carbon nanotube that encloses the DNA molecule. The total interaction energy is calculated from the continuum approximation, where the atoms in each structure are assumed to be smeared over the surfaces of an ideal cylinder and a twisted ribbon, and the optimal carbon nanotube to enclose the DNA molecule is derived as the minimum energy configuration. Moreover, the binding energies between the DNA molecule adsorbing onto a graphene surface are derived by minimizing the binding energies to determine the preferred locations of the DNA molecules with respect to the graphene sheet. Finally, the binding of C₆₀ to a DNA molecule is investigated, again by adopting the continuum approximation for modelling nanostructures. In summary, the original contribution of this thesis is the development of ideal mathematical models and new analytical formulae for the interaction energy between deoxyribonucleic acid molecules and various types of carbon nanostructures, including carbon nanotubes, graphite, and C₆₀ fullerene. The interaction energies between the DNA molecules and the nanostructures are determined analytically from the mathematical models and thus can be readily evaluated using standard computer algebra packages such as MAPLE and MATLAB. Hence, the interaction mechanisms and equilibrium configurations for a wide variety of systems might be fully and quickly investigated.
Advisor: Cox, Barry James
Hill, James Murray
Dissertation Note: Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2014
Keywords: DNA; carbon nanostructures; Lennard-Jones potential
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals
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