The objective of this study was to determine how Al2O3 nanoparticle concentration affected the specific heat, heat of fusion, melting point, thermal diffusivity and thermal conductivity of Alumina-Nitrate nanofluids. Al2O3 nanoparticles were dispersed in a eutectic of sodium nitrate and potassium nitrate (60:40 for mole fraction) to create nanofluids using a hot plate evaporation method and an air dryer method. The nominal Al2O3 (alumina) mass fraction was between 0 and 2%, and was determined as the ratio of the mass of Al2O3 nanoparticles to the total mass of the nanofluid. After the preparation of the nanofluids, Neutron Activation Analysis (NAA) was used to measure the actual Al2O3 mass fraction in the nanofluids. The specific heat, heat of fusion, and melting point were measured with a Modulated Differential Scanning Calorimeter (MDSC). The thermal diffusivity and thermal conductivity were measured with Laser Flash Analysis (LFA). The MDSC results showed that the addition of Al2O3 nanoparticles enhanced the specific heat of the nanofluids synthesize from both methods. There was a parabolic relation between the specific heat and the Al2O3 mass fraction for the nanofluids synthesized from the hot plate evaporation method, with a maximum 31% enhancement at 0.78% Al2O3 mass fraction. The nanofluids synthesized from the air dryer method also resulted in enhanced specific heats which were higher at the same Al2O3 mass fraction than those of the nanofluids synthesized from the hot plate evaporation method. It was not determined why this enhancement occurred. The results also showed that the introduction of Al2O3 nanoparticles had no significant effect on the heat of fusion and melting point of the nanofluids synthesized from either method. The LFA results showed that adding Al2O3 nanoparticles decreased the thermal diffusivity and the thermal conductivity of the nitrate eutectic.

Use of Nano Zero Valent Iron (nZVI) for treatment of different halogenated hydrocarbons, arsenic and various other contaminants has been proved successful. However, with so much diversified use of nZVI in the field and heighted attention to engineered nanoparticles, the environmental fate and impact of the nZVI remains unknown. The goal of this project was to evaluate the effects of different types of nZVI on Typha latifolia, a common wetland plant and hybrid poplar (Populous deltoids x Populous nigra), a woody plant used in phytoremediation. Plants grown hydroponically in a green house were dosed with different concentration of bare or bimetallic nZVI (with 10% nickel coating) for one to four weeks. The results showed that bare nZVI had toxic effects to Typha in higher concentrations but enhanced growth of plants at lower concentrations. Bare nZVI did not significantly affect the growth of poplars but bimetallic nZVI did impede the growth. Bimetallic nano particles were significantly more toxic and resulted in death of Typha within a week of dosing. Scanning electron microscope (SEM) clearly showed the adsorption of the nZVI on the plant root surface, confirmed by Energy dispersive x-ray (EDX) analysis. Transmission electron microscope (TEM) and Scanning Transmission electron microscope (STEM) confirmed the uptake of nZVI by poplar plant, but such internalization was not observed in case of Typha. However, uptake of the nanoparticles was only limited to the root and the translocation of particles to the shoot was not observed.

This thesis studies the interaction between free radical species and supported noble metal nanoparticles (silver and gold) in the context of oxidation reactions. The peroxidation of cumene is the first reaction to be discussed and the difference in peroxidation product distribution using silver nanoparticles (AgNP) versus gold nanoparticles (AuNP) is examined. Specifically, cumyl alcohol is obtained as the major product obtained when using supported AuNP, whereas cumene hydroperoxide is favoured for AgNP. Such variations in product distribution are partially explained by the differences in the nanoparticle Fenton activity, where the TiO2 support was proposed to enhance such activity due to possible electron shuttling capabilities with the nanoparticle surface. Use of hydrotalcite as a support was found to minimize this characteristic, due to its insulator properties. The stability of hydroperoxide was tested in the presence of various others supports (activated carbon, Al2O3, ZnO, SiO2 and clays) with little success, with hydroperoxide exhibiting stability in the presence of HT. Using an oxygen uptake apparatus, the interaction of the cumyl peroxyl radical with the AuNP surface was demonstrated. Furthermore, this interaction promotes decomposition leading to the corresponding alkoxyl radical and subsequent hydrogen abstraction to form the observed cumyl alcohol product. The radical interaction with supported nanoparticles, and its reversibility appear different for gold and silver and accounts for a large part of the product distribution differences observed between AuNP and AgNP, as illustrated below. The peroxidation of ethylbenzene and propylbenzene was studied and revealed the participation of a reactive surface oxygen species due to the decomposition of peroxyl radicals on the nanoparticle surface. The reactive oxygen species was found to be transient in nature in the case of AuNP . Furthermore, this surface species was found to be an important participant in hydrogen abstraction leading to peroxide product formation. Finally, supported nanoparticle catalyzed tetralin peroxidation was investigated to determine the influence of temperature on the peroxidation product distribution and how changes in the reaction temperature can effect the radical-nanoparticle surface interactions.

OBJECTIVE: One of the major issues in current radiotherapy (RT) is the normal tissue toxicity. A smart combination of agents within the tumor would allow lowering the RT dose required while minimizing the damage to healthy tissue surrounding the tumor. We chose gold nanoparticles (GNPs) and docetaxel (DTX) as our choice of two radiosensitizing agents. They have a different mechanism of action which could lead to synergistic effect. Our first goal was to assess the variation in GNP uptake, distribution, and retention in the presence of DTX. Our second goal was to assess the therapeutic results of the triple combination, RT/GNPs/DTX. METHODS: We used HeLa and MDA-MB-231 cells for our study. Cells were incubated with GNPs (0.2nM) in the absence and presence of DTX (50nM) for 24 hrs for determination of uptake, distribution, and retention of NPs. For RT experiment, treated cells were given a 2 Gy dose of 6 MV photons using a linear accelerator. RESULTS: Concurrent treatment of DTX and GNPs resulted in over 85% retention of GNPs in tumor cells. DTX treatment also forced GNPs to be closer to the most important target, the nucleus, resulting in a significant decrease in cell survival with the triple combination of RT, GNPs, and DTX vs. RT plus DTX alone. Our experimental therapeutics results are supported by Monte Carlo simulations. CONCLUSION: The ability to not only trap GNPs at clinically feasible doses but also to retain them within the cells could lead to meaningful fractionated treatments in future combined cancer therapy. Furthermore, the suggested triple combination of RT/GNPs/DTX may allow lowering the RT dose to spare surrounding healthy tissue. ADVANCES IN KNOWLEDGE: This is the first study to show intracellular GNP transport disruption by DTX, and its advantage in radiosensitization. / Graduate / 2020-10-31

Accurate determination of the surface enhanced Raman scattering (SERS) enhancement factor (EF) is critically important for a fundamental understanding of the SERS phenomenon. Experimental quantification of SERS EFs is challenging. A series of instrument-, analyte-, and SERS-substrate related issues can affect the SERS intensity and thus compromise the reliability of the measured SERS EFs. This dissertation presents a series of computational and experimental studies that enhance the quantitative understanding of the SERS signal variation and identify ways to enhance the reliability of the SERS EF determination. Chapter I presents an overview of works described in this dissertation. The gold nanoparticle (AuNP) inner filter effect on SERS measurements is demonstrated in Chapter II. Using dithiopurine and ethanol as model analytes, we demonstrate that the nanoparticle will modify the analytes’ Raman signal through two competitive mechanisms: enhancing the Raman signal of the analyte on the nanoparticle surface through electromagnetic enhancement, and attenuating the analyte Raman signal through photon extinction. The significance of the AuNP inner filter effect is quantitatively evaluated using ethanol as the internal reference. A solvent internal reference method is presented in Chapter III for quantifying the SERS EFs of analytes adsorbed onto AuNPs and AgNPs. One of the key findings is that while an analyte’s SERS EF varies significantly as a function of nanoparticle aggregation, its peak SERS EF depends only on the types and sizes of nanoparticles, but not on experimental conditions including concentrations of analyte, nanoparticle, and aggregation reagent. Chapter IV presents a SERS internal reference method for the determination of the resonance Raman EFs in the SERS study of rhodamine 6G (R6G) adsorbed onto AuNPs and AgNPs. The most striking finding is that the AgNP binding reduces, instead of enhancing, the R6G resonance enhancement. Finally, the wavelength-dependent correlation between UV-vis intensities and SERS EFs of aggregated AuNPs and AgNPs were investigated under three fixed excitation wavelengths (532, 632, and 785 nm). The nanoparticle UV-vis intensity is an excellent indicator for identifying the optimal aggregation state for AgNP-based SERS acquisitions under each of the three excitation wavelengths and for the AuNP-based SERS under a 632 nm excitation.

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This thesis explores both the optical and catalytic properties of cubic shaped nanoparticles. The investigation begins with the sensing capabilities of cubic metal dimers. Of all the plasmonic solid nanoparticles, single Ag or Au nanocubes exhibit the strongest electromagnetic fields. When two nanoparticles are in close proximity to each other the formation of hot spots between plasmonic nanoparticles is known to greatly enhance these electromagnetic fields even further. The sensitivity of these electromagnetic fields as well as the sensitivity of the plasmonic extinction properties is important to the development of plasmonic sensing. However, an investigation of the electromagnetic fields and the corresponding sensing capabilities of cubic shaped dimers are currently lacking. In Chapters 2-5 the optical properties of cubic dimers made of either silver or gold are examined as a function of separation distance, surrounding environment, and dimer orientation. A detailed DDA simulation of Au–Au and Ag-Ag dimers oriented in a face-to-face configuration is conducted in Chapter 2. In this Chapter a distance dependent competition between two locations for hot spot formation is observed. The effect of this competition on the sensing capabilities of these dimers is further explored in Chapters 3 and 4. This competition originates from the generation of two different plasmonic modes. Each mode is defined by a unique electromagnetic field distribution between the adjacent nanocubes. In Chapter 4 the maximum value of the electromagnetic field intensity is investigated for each mode. Notably the magnitude of the electromagnetic field is not directly proportional to its extinction intensity. Furthermore, the sensitivity of a plasmonic mode does not depend on its extinction intensity. The sensitivity is rather a function of the magnitude of the electromagnetic field intensity distribution. Also, the presence of a high refractive index substrate drastically affects the optical properties and subsequent sentivity of the dimer. In Chapter 5 the sensing properties of a cubic dimer is investigated as a function of orientation. As the separation distance of the nanocube dimer is decreased the orientation of the dimer drastically affects its coupling behavior. The expected dipole-dipole exponential coupling behavior of the dimer is found to fail at a separation distance of 14 nm for the edge-to-edge arrangement. The failure of the dipole-dipole coupling mechanism results from an increased contribution from the higher order multipoles (eg. quadrupole-dipole). This behavior begins at a separation distance of 6 nm for the face-to-face dimer. As a result, the relative ratio of the multipole to the dipole moment generated by the edge-to-edge dimer must be larger than the ratio for the face-to-face orientation. In the last section of this thesis the catalytic properties of cubic nanoparticles composed of a platinum-silver alloy are investigated. The catalytic activity and selectivity towards a given reaction is intimately related to the physical and electronic structure of the catalyst. These cubic platinum-silver alloys are utilized as catalysts for the oxygen reduction reaction (ORR). A maximum enhancement in the specific activity (3.5 times greater than pure platinum) towards the ORR is observed for the cubic platinum-silver alloy with the lowest platinum content. This activity is investigated as a function of the physical structure of a cubic shaped catalyst as well as the electronic modifications induced by the formation of a platinum-silver alloy.

Proton exchange membrane fuel cells are attractive power sources because they are highly efficient and do not pollute the environment. However, the use of Pt-based catalysts in present fuel cell technologies is not optimal: Pt is rare and expensive, and even the best commercial Pt cathodes have high overpotentials due to slow oxygen reduction kinetics. As a result, much effort has gone toward developing cheaper, more effective catalysts. Nanoparticles are attractive because they have different catalytic properties than analogous bulk systems, require less material, and have tunable reactivities based on their composition and size. It is important to perform detailed studies of nanoparticle catalysts since composition and size effects are poorly understood. Computational simulations of such materials can provide useful insights and potentially aid in the design of new catalysts. Here, I examine composition and size effects in nanoparticle catalysts using computational methods. Two bimetallic systems are investigated to explore composition effects: Pd-shell particles with several different core metals, and Pd/Cu random alloy particles. Depending on how the two metals are mixed (core-shell or random alloy), charge transfer and strain due to alloying are found to have different contributions to the catalytic activity. Size effects are studied for pure Pt particles, where corner and edge sites are found to play an important role. The binding geometries of molecular oxygen to corner and edge sites lead to peroxide formation instead of water on small Pt particles. Results form these calculations can provide useful information for designing novel catalysts in the future. By changing the composition and/or size of nanoparticles in the proper way, the interaction between the adsorbate and catalyst can be optimized, and better catalysts can be obtained. / text