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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Solvent and additive effects on the appearance of polymorphs of p-aminobenzoic acid

Black, James January 2016 (has links)
P-aminobenzoic acid (PABA) is a polymorphic compound with two known polymorphs - alpha with a needle morphology and β with a rhombic morphology. It is an enantiotropic compound with a transition temperature at 13.8oC, where alpha is more thermodynamically stable above transition temperature and β is more thermodynamically stable below. At the beginning of this project, crash-cooling crystallisation experiments were conducted to determine the effect of solvent, temperature and supersaturation on the nucleating polymorphs of PABA. Three solvents were tested (water, ethanol and isopropyl alcohol) over a range of supersaturations and temperatures. The results suggested that polymorph appearance of PABA was heavily influenced by kinetics, as opposed to thermodynamics of the system, disagreeing with Ostwald's rule of stages. The project then focussed on the ability of tailor-made additives to select the crystallising polymorph of PABA from supersaturated solutions of PABA in isopropyl alcohol. Crash-cooling crystallisation experiments were performed using two additives: 4-amino-3-nitrobenzoic acid, and 4-amino-3-methoxybenzoic acid. Results showed that alpha PABA crystallised below a critical concentration of either additive, and above that critical concentration, β PABA would crystallise. To determine whether the additives were affecting the nucleation and/or growth kinetics of alpha PABA and β PABA, a series of nucleation and growth experiments were conducted using a Crystal16 multiple stirred reactor and a crystal growth cell respectively. The results showed that both additives greatly reduced the attachment frequency of growth units to alpha PABA nuclei, and inhibited the growth rate of alpha PABA seed crystals. Nucleation data could not be obtained for β PABA, but in terms of crystal growth, both additives did not affect growth rate of β PABA to a noticeable degree. Gravimetric and HPLC experiments were also employed to measure the solubility effects of both additives on PABA in isopropyl alcohol. Results showed that both additives did not appear to affect PABA's solubility to a noticeable degree.
2

Connecting Thermodynamics and Kinetics of Ligand Controlled Colloidal Pd Nanoparticle Synthesis

Li, Wenhui 24 April 2019 (has links)
Colloidal nanoparticles are widely used for industrial and scientific purposes in many fields, including catalysis, biosensing, drug delivery, and electrochemistry. It has been reported that most of the functional properties and performance of the nanoparticles are highly dependent on the particle size and morphology. Therefore, controlled synthesis of nanomaterials with desired size and structure is greatly beneficial to the application. This dissertation presents a systematic study on the effect of ligands on the colloidal Pd nanoparticle synthesis mechanism, kinetics, and final particle size. Specifically, the research is focused on investigating how the ligand bindings to different metal species, i.e., metal precursor and nanoparticle surface, affect the nucleation and growth pathways and rates and connecting the binding thermodynamics to the kinetics quantitatively. The first part of the work (Chapters 4 and 5) is establishing isothermal titration calorimetry (ITC) methodology for obtaining the thermodynamic values (Gibbs free energy, equilibrium constant, enthalpy and entropy) of the ligand-metal precursor binding reactions, and the simultaneous metal precursor trimer dissociation. In brief, the binding products and reactions were characterized by nuclear magnetic resonance (NMR), and an ITC model was developed to fit the unique ITC heat curve and extract the thermodynamic properties of the reactions above. Furthermore, in Chapter 6, the thermodynamic properties, especially the entropy trend changing with the ligand chain length was investigated on different metal precursors based on the established ITC methodology, showing that the entropic penalty plays a significant role in the binding equilibrium. The second part of the dissertation (Chapter 7 and 8) presents the kinetic and mechanistic study on size-tuning of the colloidal Pd nanoparticles only by changing different coordinating solvents as ligands together with the trioctylphosphine ligand. In-situ small angle X-ray scattering was applied to characterize the time evolutions of size, size distribution, and particle concentration using synthesis reactor connected to a capillary flow cell. From the real-time kinetic measurements, the nucleation and growth rates were calculated and correlated with the thermodynamics, i.e., Gibbs free energies of solvent-ligand-metal precursor reactivity and ligand-nanoparticle surface binding which were modified by the coordination of different solvents. Higher reactivity leads to faster nucleation and high nanoparticle concentration, and stronger solvent/ligand-particle coordination energy results in higher ligand capping density and slower growth. The interplay of both effects reduces the final particle size. Furthermore, because of the significance of the ligand-metal interactions, the synthesis temperature and ligand to metal precursor ratio were systematically to modify the relative binding between the ligand and precursor, and the ligand and nanoparticle, and determine the effect on the nucleation and growth rates. The results show that the relative rates of nucleation and growth is critical to the final size. A methodology for using the in-situ measurements to predict the final size by developing a kinetic model based is discussed. / Doctor of Philosophy / Metal nanoparticles dispersed in solution phase, i.e., colloidal nanoparticles, are of great scientific interests due to their unique properties different from bulk metal materials. The size, shape and other morphology features can largely affect the nanomaterial properties and functional performances. Therefore, a successful synthesis of nanoparticles with desired structures is highly beneficial to the development of their application. Ligands, which are long-chain molecules that can cap on the surface of the nanoparticles, have been known as stabilizers of the nanoparticles in the solution phase. Whereas in recent studies, it has been found that changing the ligand type and concentration in the synthesis can result in different sizes and shapes of nanomaterials, which indicates that the ligands are playing critical roles in the synthesis mechanisms to control the kinetics. To have a better understanding on the control effects of the ligands, systematic studies were conducted on the ligand interactions (bindings) between the ligand-metal compound (as the metal source and initial agent in the nanomaterial synthesis) and ligand-nanoparticle surface, of which both can be quantified by thermodynamics. Using isothermal titration calorimetry, the ligand-metal precursor binding strength was measured and found to be dependent on ligand chain length and the metal precursors, which further affects the reactivity of the metal precursor based on the results of density functional theory calculations. On the other hand, the ligand-nanoparticle surface binding strength was found to affect the capping density of the ligands on the nanoparticle surface. In order to connect the thermodynamics to the kinetics, namely the nucleation (formation of new particles) and growth (particle size increase) rates, small angle X-ray scattering (SAXS) characterization was performed in real time during the synthesis on the nanoparticles. This technique allows the capture of the size, size distribution and concentration of nanoparticles changing with time, and the nucleation and growth rates were further calculated from the SAXS data. By changing solvents with the same functions of ligands but of different coordinating abilities, a correlation between the kinetics and thermodynamics was observed. The nucleation rate increases with the metal precursor reactivity, which corresponds to stronger solvent binding to the precursor. On the other hand, the stronger ligand-nanoparticle binding slows down the growth by lowering the surface capping density. To go deeper into the ligand-metal binding and kinetics correlation, the binding properties were tuned by changing other synthesis conditions, i.e., different temperatures and ligand to metal ratios (ligand concentration), and a qualitative discussion was given on the effects of these conditions on the synthesis kinetics and final particle size.
3

Modeling the Nucleation and Growth of Colloidal Nanoparticles

Mozaffari, Saeed 05 February 2020 (has links)
Controlling the size and size distribution of colloidal nanoparticles have gained extraordinary attention as their physical and chemical properties are strongly affected by size. Ligands are widely used to control the size and size distribution of nanoparticles; however, their exact roles in controlling the nanoparticle size distribution and the way they affect the nucleation and growth kinetics are poorly understood. Therefore, understanding the nucleation and growth mechanisms and developing theoretical/modeling framework will pave the way towards controlled synthesis of colloidal nanoparticles with desired sizes and polydispersity. This dissertation focuses on identifying the possible roles of ligands and size on the kinetics of nanoparticle formation and growth using in-situ characterization tools such as small-angle X-ray scattering (SAXS) and kinetic modeling. The presented work further focuses on developing kinetic models to capture the main nucleation and growth reactions and examines how ligand-metal interactions could potentially alter the rate of nucleation and growth rates, and consequently the nanoparticle size distribution. Additionally, this work highlights the importance of using multi-observables including the concentration of nanoparticles, size and/or precursor consumption, and polydispersity to differentiate between different nucleation and growth models and extract accurate information on the rates of nanoparticle nucleation and growth. Specifically, during the formation and growth of colloidal nanoparticles, complex reactions are occurring and as such nucleation and growth can take place through various reaction pathways. Therefore, sensitivity analysis was applied to effectively compare different nucleation and growth models and identify the most important reactions and obtain a reduced model (e.g. a minimalistic model) required for efficient data analysis. In the following chapters, a more sophisticated modeling approach is presented (population balance model) capable of capturing the average-properties of nanoparticle size distribution. PBM allows us to predict the growth rate of nanoparticles of different sizes, the ligand surface coverage for each individual size, and the parameters involved in altering the size distribution. Additionally, thermodynamic calculations of nanoparticle growth and ligand-metal binding as a function of size and ligand surface coverage were conducted to further shed light on the kinetics of nanoparticle formation and growth. The combination of kinetic modeling, in-situ SAXS and thermodynamic calculations can significantly advance the understanding of nucleation and growth mechanisms and guide toward controlling size and polydispersity. / Doctor of Philosophy / The synthesis of colloidal metal nanoparticles with superior control over size and size distribution, and has attracted much attention given the wide applications of these nanomaterials in the fields of catalysis, photonics, and electronics. Obtaining nanoparticles with desired sizes and polydispersity is vital for enhancing the consistency and performance for specific applications (e.g., catalytic converters for automotive emission). Ligands are often employed to prevent agglomeration and also control the nanoparticle size and size distribution. Ligands can affect the precursor reactivity and therefore the reduction/nucleation by binding with the metal precursor. Nucleation refers to the assimilation of few atoms to form initial nuclei acting as templates for nanoparticle growth. Additionally, ligands can bind with the nanoparticle surface sites and change the rate of surface growth and therefore the final nanoparticle size. Despite strong effects of ligands in the colloidal nanoparticle synthesis, their exact role in the nucleation and growth kinetics is yet to be identified. Additionally, nucleation and growth models capable of unraveling the underlying mechanisms of nucleation and growth in the presence of ligands are still lacking in the literature. Therefore, obtaining nanoparticles with desired sizes and polydispersity mostly relies on trial-and-error approach making the synthesis costly and inefficient. As such, developing models capable of predicting suitable synthesis conditions is contingent upon understanding the chemistry and mechanism involved during nanoparticles formation. Therefore, in this study, novel kinetic models were developed to capture the nucleation and growth kinetics of colloidal metal nanoparticles under different synthetic conditions (different types of solvents, different concentrations of ligand and metal). In-situ SAXS was further employed to measure the average diameter, concentration of nanoparticles, and polydispersity during the synthesis and extract the nucleation and growth rates (evolution of concentration of nanoparticles and size). First, an average-property model was developed to account for ligand-metal bindings and capture the size and concentration of nanoparticles during the synthesis. Then, a more complex modeling approach; PBM, accompanied by the thermodynamic calculations of surface growth and ligand-nanoparticle binding enthalpies was implemented to capture the size distribution. As it will be shown later, the determination of the underlying mechanisms resulted in a highly predictive kinetic model capable of predicting the synthetic conditions to obtain nanoparticles with desired sizes. The proposed methodology can serve as a powerful tool to synthesize nanoparticles with specific sizes and polydispersity.

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