Kinetic modeling of gold nanoparticle formation for radiation dose prediction

dc.contributor.advisorChairperson, Graduate Committee: Jeff Heys; James Wilking (co-chair)en
dc.contributor.authorAkar, Buraken
dc.date.accessioned2018-02-26T17:33:09Z
dc.date.available2018-02-26T17:33:09Z
dc.date.issued2017en
dc.description.abstractNanoparticles have numerous uses in the biomedical sciences, and this study focused on use of gold nanoparticles (GNPs) for measuring ionizing radiation dose. GNPs synthesized at various radiation doses were experimentally characterized and two mathematical models were developed to simulate the synthesis process. The first is based on the Finke-Watzky model and predicts the rate of soluble gold salt conversion to GNPs, and the second model is based on a population balance model and predicts nanoparticle concentration and size distribution. The model parameters that provided an optimal fit to experimentally gathered data were determined, and both models were able to capture the experimental absorbance time trends. The population balance model, however, had the greater predictive power as it was able to capture mean particle size trends that were consistent with experimental measurement.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/13466en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.rights.holderCopyright 2017 by Burak Akaren
dc.subject.lcshNanoparticlesen
dc.subject.lcshGolden
dc.subject.lcshRadiationen
dc.subject.lcshMathematical modelsen
dc.titleKinetic modeling of gold nanoparticle formation for radiation dose predictionen
dc.typeThesisen
mus.data.thumbpage11en
thesis.degree.committeemembersMembers, Graduate Committee: Jennifer Brown.en
thesis.degree.departmentChemical & Biological Engineering.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage55en

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