Surface and Molecular Level Characterization of Nanomaterials for Water Treatment and Drug Delivery
dc.contributor.advisor | Louie, Stacey M. | |
dc.contributor.committeeMember | Rixey, William G. | |
dc.contributor.committeeMember | Rodrigues, Debora F. | |
dc.contributor.committeeMember | Conrad, Jacinta C. | |
dc.contributor.committeeMember | Liu, Xinli | |
dc.contributor.committeeMember | Fini, Elham H. | |
dc.creator | Shakiba, Sheyda | |
dc.date.accessioned | 2022-06-30T22:43:52Z | |
dc.date.created | May 2021 | |
dc.date.issued | 2021-05 | |
dc.date.submitted | May 2021 | |
dc.date.updated | 2022-06-30T22:43:53Z | |
dc.description.abstract | Nanomaterials have versatile applications in a variety of fields, including water treatment applications in environmental engineering and delivery of active ingredients for biomedical or agricultural applications. To explain, predict, and improve the functionality of nanoparticles for these applications, it is essential to provide a detailed and robust characterization of their surface and molecular level interactions. However, the characterization of these nanoscale systems is often challenging. This dissertation contributes toward developing new approaches to characterize and predict the surface chemistry and release behavior of nanomaterials. Specifically, the first section of the dissertation focuses on measuring and predicting competitive adsorption of proteins and natural organic matter onto titanium dioxide nanomaterials for water treatment. This research identified that intermolecular interactions and the kinetics of adsorption are critical to predict the adsorbed layer composition in complex environmental matrices. The following sections focus on developing advanced multi-detector asymmetric flow field – flow fractionation (AF4) methods to characterize the release of active ingredients from polymeric nanoparticles. This research demonstrated that, along with providing more robust and rapid analysis of drug release compared to conventional methods, the unique capability of the AF4 analysis to acquire size-resolved release profiles enable an improved understanding of release mechanisms that is not achievable in bulk time-resolved assays. Overall, the new methods and modeling approaches developed here can be broadly applied to evaluate the surface and molecular interactions of nanomaterials and thereby better predict their functionality and design improved nanomaterials for environmental and health applications. | |
dc.description.department | Civil and Environmental Engineering, Department of | |
dc.format.digitalOrigin | born digital | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Portions of this document appear in: Shakiba, S.; Hakimian, A.; Barco, L. R.; Louie, S. M., "Dynamic Intermolecular Interactions Control Adsorption from Mixtures of Natural Organic Matter and Protein onto Titanium Dioxide Nanoparticles." Environ. Sci. Technol. 2018, 52, (24), 14158-14168. | |
dc.identifier.uri | https://hdl.handle.net/10657/10240 | |
dc.language.iso | eng | |
dc.rights | The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). | |
dc.subject | Characterization | |
dc.subject | Nanomaterials | |
dc.subject | Water Treatment | |
dc.subject | Drug Delivery | |
dc.subject | Asymmetric Flow Field – Flow Fractionation | |
dc.title | Surface and Molecular Level Characterization of Nanomaterials for Water Treatment and Drug Delivery | |
dc.type.dcmi | Text | |
dc.type.genre | Thesis | |
local.embargo.lift | 2023-05-01 | |
local.embargo.terms | 2023-05-01 | |
thesis.degree.college | Cullen College of Engineering | |
thesis.degree.department | Civil and Environmental Engineering, Department of | |
thesis.degree.discipline | Environmental Engineering | |
thesis.degree.grantor | University of Houston | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy |
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