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Liquid chromatography is an essential technique in manufacturing biopharmaceuticals where it is used on all scales from analytical applications in R&amp;D to full-scale production. In chromatography the target molecule, typically a protein, is separated and purified from other components and contaminants. Separation is based on different affinities of different molecules for the chromatographic medium and the physical and chemical properties of the latter determine the outcome. Controlling and designing those properties demand efficient analytical techniques. In this thesis the approach was to develop characterization methods based on nuclear magnetic resonance (NMR) spectroscopy for the assessment of various important physico-chemical properties. The rationale behind this strategy was that the versatility of NMR – with its chemical and isotopic specificity, high dynamic range, and direct proportionality between the integral intensity of the NMR signal and the concentration of spin-bearing atomic nuclei (e.g., 1H, 13C, 31P and 15N) – often renders it a very good choice for both qualitative and quantitative evaluations. These characteristics of NMR enabled us to develop two quantification methods for chromatography-media ligands, the functional groups that provide the specific interactions for the molecules being separated. Furthermore, a new method for measuring the distribution of macromolecules between the porous chromatographic beads and the surrounding liquid was established. The method, which we have named size-exclusion quantification (SEQ) NMR, utilizes the fact that it is possible to assess molecular size distribution from corresponding distribution of the molecular self-diffusion coefficient where the latter is accessible by NMR. SEQ-NMR results can also be interpreted in terms of pore-size distribution within suitable models. Finally, we studied self-diffusion of small molecules inside the pores of chromatographic beads. The results provided new insights into what affects the mass transport in such systems. The methods presented in this thesis are accurate, precise, and in many aspects better than conventional ones in terms of speed, sample consumption, and potential for automation. They are thus important tools that can assist a better understanding of the structure and function of chromatography media. In the long run, the results in this project may lead, via better chromatographic products, to better drugs and improved health. / Vätskekromatografi är en viktig teknik för tillverkning av biologiska läkemedel och används för alltifrån småskaliga analytiska applikationer till fullskalig produktion. I kromatografi separeras och renas målmolekylen (oftast ett protein), från andra komponenter och föroreningar genom att utnyttja molekylernas olika affinitet för det kromatografiska mediumet, vars fysikaliska och kemiska egenskaper har stor betydelse för hur separationen fungerar. För att kunna kontrollera och designa dessa egenskaper krävs effektiva analysmetoder. Strategin i den här avhandlingen var att utveckla metoder baserade på kärnmagnetisk resonans (NMR) spektroskopi för att karaktärisera flera viktiga fysikalisk-kemiska egenskaper. Anledningen till denna strategi är att mångsidigheten hos NMR – med dess kemiska och isotopiska specificitet, stora dynamiska omfång och direkta proportionalitet mellan NMR-signalens integralintensitet och koncentrationen av spinnbärande atomkärnor (t.ex. 1H, 13C, 31P och 15N) - ofta gör den till det bästa valet för både kvalitativa och kvantitativa tillämpningar. Dessa egenskaper hos NMR gjorde att vi kunde utveckla två kvantifieringsmetoder för kromatografimedia-ligander, dvs de funktionella grupperna som ger de specifika interaktioner som gör att molekylerna kan separeras. Dessutom har en ny metod för att mäta fördelningen av makromolekyler mellan de porösa kromatografiska pärlorna och den omgivande vätskan tagits fram. Metoden, som vi har valt att kalla size-exclusion quantification (SEQ) NMR, utnyttjar det faktum att det är möjligt att mäta molekylstorleksfördelningen genom att mäta motsvarande fördelning av självdiffusionskoefficienter, där den sistnämnda kan bestämmas med NMR. Resultaten från SEQ-NMR kan tolkas i termer av porstorleksfördelningar genom att använda lämpliga modeller. Slutligen studerade vi självdiffusion av små molekyler inuti porerna i kromatografiska pärlor. Resultaten gav nya insikter om vad som påverkar masstransporten i sådana system. De metoder som presenteras i denna avhandling är noggranna, precisa och på många sätt bättre än konventionella metoder när det gäller hastighet, låg provförbrukning och automatiseringspotential. De nya metoderna är därför viktiga verktyg som kan hjälpa till att ge en bättre förståelse av struktur och funktion hos kromatografimedia. I det långa loppet kan resultat från det här projektet kunna bidra till effektivare kromatografiska produkter, vilket i slutändan kan leda till bättre läkemedel och hälsa. / <p>QC 20170403</p>

Gegenstand der Arbeit ist die Untersuchung der kollektiven Diffusion von Wasser und Ionen in wässrigen Elektrolytlösungen. Dabei wird insbesondere die Dynamik der Wassermoleküle innerhalb der Hydratationshüllen der Ionen und der Einfluss poröser Materialien untersucht. Nach einer Einführung zur Dynamik der Hydratationshülle folgen Grundlagen der NMR-Diffusometrie, welche genutzt wurde um die Selbstdiffusionskoefifizienten der Wassermoleküle und der Ionen der Lösungen zu messen. Daraus wurden die dynamischen Hydratationszahlen der Ionen bestimmt, welche die Anzahl an Wassermolekülen angeben, die durch die Diffusion des Ions in ihrer translatorischen Bewegung beeinflusst sind. Der Einfluss poröser Materialien auf die Dynamik wird am Beispiel nanoporöser Glasmonolithe und mikroporöser Li-LSX Kristalle untersucht.

The translational self-diffusion, the librations, and the reorientational motions of guest water molecules in the zeolite chabazite are examined by Molecular Dynamics (MD) computer simulations at different temperatures and loadings, including at room temperature, at which the experiments are carried out. Satisfactory agreement is found between the computed and measured translational self-diffusion coefficients. It is, however, furthermore found that the way in which the long-range electrostatic interactions are computed has an effect on the self-diffusion at high loadings and temperatures. The spectral densities of the librational motions of water are found to be similar to those in aqueous salt solutions. The reorientations of the water molecules, on the other hand, are much slower than in the liquids, and very anisotropic. The vector in direction of the molecular dipole moment reorients only very slowly, at the time scale of the simulations, due to the attraction to the almost immobile Ca++-ions and the walls of the zeolite. The other two vectors seem to undergo jump-reorientations rather than reorientations by a diffusion process. Hyper dynamics boost potential method has been applied to the MD simulations to estimate the self-diffusion coefficients of Ca++ ions in dehydrated chabazite. Because of our system is very complicated, the self-diffusion of Ca++ ions can only be roughly estimated. The Ca++ ions diffusion is small enough to confirm that the cation motion can be neglected in the normal MD simulation.

Les propriétés d'autodiffusion de l’uranium sont essentielles pour la compréhension d’interaction pastille-gaine dans le réacteur. L'objectif de cette thèse est de déterminer les coefficients d'autodiffusion de l'uranium dans l’$UO_2$ hyper-stœchiométrique qui sont contrôlés, dans certaines conditions thermodynamiques, par les défauts ponctuels. Pour cet objectif, trois études différentes ont été réalisées. La première porte sur la compréhension des défauts d'oxygène et les différents réarrangements du réseau après oxydation. Pour cela, des échantillons d’$UO_2$ et d’$UO_{2+x}$ ont été caractérisés par une diffraction neutronique au sein du laboratoire ILL à Grenoble. Les résultats obtenus de l’analyse par la « Pair Distribution Function » montrent que les ions interstitiels ont tendance à être isolés aux faibles valeurs de x mais ils sont groupés aux valeurs plus élevées de x. La deuxième partie vise à étudier les défauts lacunaires d'uranium, prédominants dans les échantillons d’$UO_{2+x}$ recuits à haute température, qui influent directement sur l'autodiffusion de l'uranium. La méthode non destructive de « Spectroscopie d'annihilation de Positron », implémentée au laboratoire CEMHTI à Orléans, a été appliquée. Les résultats ont montré l'existence des lacunes d'uranium dans le matériau et leurs quantités peuvent être estimées en fonction de la mesure de durée de vie des positrons à l'aide d'un modèle de piégeage. La connaissance de la nature des défauts cationiques et anioniques et des équilibres de défauts aide à comprendre la corrélation entre les propriétés importantes du combustible (e.g, la diffusion, le fluage) et les conditions thermodynamiques (T, pO2). / Uranium self-diffusion properties are essential for the understanding of in-reactor pellet-cladding interaction. The aim of this thesis is to determined uranium self-diffusion coefficients in hyper-stoichiometric uranium dioxide under certain thermodynamic conditions, which indeed are governed by the induced point defects. For that purpose, three separate studies were carried out on virgin material. Firstly, to improve the knowledge of oxygen defects and the rearrangements occurring in the oxygen sub-lattice after oxidation, $UO_2$ and $UO_{2+x}$ samples were characterized by neutron diffraction in ILL Grenoble. The results obtained by a Pair Distribution Function analysis show that interstitial ions tend to be isolated at lower x but cluster at higher x. Secondly, to study the predominant uranium vacancy defects in high-temperature annealed $UO_{2+x}$, which directly influence the uranium self-diffusivity, a non-destructive method – Positron Annihilation Spectroscopy, available in CEMHTI, Orleans has been carried out. The results of Doppler broadening spectroscopy of annihilation of electron-positron pairs has proved the existence of uranium vacancies in the materials, and their concentration can be estimated based on the positron lifetime measurements using a trapping model. The knowledge of the nature relating to both cation and anion defects and defect equilibria are used to understand the correlation between important fuel properties (e.g. diffusion, creep) and thermodynamic conditions (i.e. temperature and oxygen partial pressure).

This dissertation aims to develop, characterize, and fundamentally understand a new class of materials termed "molecular ionic composites" (MICs). MICs show promise as next-generation solid electrolytes for batteries. MICs form when mixing a rigid polyanion with purely ionic fluids, and they behave mechanically as a solid but contain a high density of ions that move nearly as in a neat liquid. Specifically, prototypical MICs are based on solutions of the rigid-rod polyelectrolyte poly(2,2'-disulfonyl-4,4'-benzideneterephthalamide) (PBDT), which forms a double helix, combined with imidazolium-based ionic liquids (ILs). The IL comprises 75-97 wt% of the final solid, even though the Young's modulus can reach ~ 2 GPa at 80 wt% IL. We propose that these properties are driven by a biphasic internal structure in MICs corresponding to IL-rich "puddles" (an interconnected liquid phase) and PBDT-IL associated "bundles" where IL ions form the collective electrostatic associations that cause the MICs to be a solid. Through this dissertation I will discuss a wide variety of MICs that have been created through the use of two different formation processes, the "ingot" method and the "solvent casting" method, which allow for the use of many different ionic fluid sources to further tune MIC properties. The following chapters build to the fundamental knowledge and our current understanding of the wide variety of materials that can be created from PBDT and IL. / Doctor of Philosophy / Battery electrolytes, biosensors, and hydrogels all depend on new materials for next-generation applications. For these new materials to be used characterization on the interactions, morphological restrictions, and/or what unique internal structures used to generate their properties must be performed. Through This analysis using common polymeric characterization techniques these materials can be further optimized. This dissertation highlights a new class of materials termed "molecular ionic composites" (MICs) which are formed from a rigid double helical polymer, poly(2,2'-disulfonyl-4,4'-benzideneterephthalamide) (PBDT), and fluids composed entirely of ions, including ionic liquids (ILs). These composite systems feature a unique combination of properties including high thermal stability, mechanical stability, and excellent ionic conductivity, all of which are highly tunable through the amount of PBDT incorporated or the fluid ion types. Chapters 3, 4, 5, and 6 present fundamental investigations of MICs to determine how tunable they are, the processes by which they form, and the various ways we can fabricate them. Chapter 7 describes the creation of another impressive material formed from PBDT-low-polymer-content hydrogels. These studies are intended to provide deeper understanding of the behaviors of these unique materials and how they may be used in the future.

This Thesis presents studies of molecular association in aqueous solution and at the liquid/solid interface. The investigated molecular systems range from self-aggregating surfactants to hydration water in contact with micelles or individual molecules. In most studies, combinations of various NMR methods were applied. These vary from simple chemical shift and intensity measurements to more elaborate self-diffusion and intermolecular cross-relaxation experiments. Non-ideal mixed micelles of fluorinated and hydrogenated surfactants were studied by an experimental procedure that allows an analysis in terms of micellar structure, using a minimal number of initial assumptions. Quantitative conclusions about micro-phase separation within mixed micelles were obtained within the framework of the regular solution theory. Additionally, NMR was introduced and developed as a powerful method for studying adsorption of surfactants at solid interfaces. Adsorption isotherms for pure and mixed surfactant systems and non-ideal mixing behavior of fluorinated and hydrogenated surfactants at solid surfaces were quantified. Fluorosurfactant-protein association was investigated using the methods described. Intermolecular cross-relaxation rates between solute and solvent molecules were recorded at several different magnetic fields. The results reveal strong frequency dependence for both small molecules and micelles. This finding demonstrates that intermolecular cross-relaxation is not solely controlled by fast local motions, but also by long-range translational dynamics. Data analysis in terms of recently developed relaxation models provides information about the hydrophobic hydration and micellar structure. / QC 20100914

Chemically identical but topologically different cyclic and linear polymers not only result in marked differences in dynamics, but also lead to unique transport properties of their blends, where cyclic polymers have chances to be threaded onto the linear polymers. This dissertation addresses the effect of ring architecture on dynamics using different time/length scale techniques: self-diffusion coefficients, NMR spin-spin relaxation time (T2) and bulk viscosity. In deuterated water, synthesized cyclic poly(oxyethylene) (CPOE) (400-1500 g/mol) diffused faster than corresponding linear POE (LPOE) and linear POE dimethyl ether (LPOEDE). However, the self-diffusion coefficients in melts were arranged in the following manner: LPOEDE > CPOE > LPOE, in excellent agreement with T2 and viscosity data, showing topological and chain end effects. Compared to LPOEDE, both CPOE and LPOE had higher activation energies for viscosity with less dependence on the molecular weight. In the blends of CPOE and LPOE for 900 and 1500 g/mol, the diffusion coefficient and viscosity in melts were higher and lower than the values predicted by a binary mixing rule, respectively. These deviations were attributed to the threading conformation, and the weight fraction of the threaded chains for 1500 g/mol was estimated by a three-term mixing rule. This threading conformation also appeared to influence such important bulk properties as the glass transition and spherulitic growth rate of the blends.

Confinement effect on semiconductor nanowires properties. Alexis Nduwimana 100 pages Directed by Dr. Mei-Yin Chou We study the effect of confinement on various properties of semiconductor nanowires. First, we study the size and direction dependence of the band gap of germanium nanowires. We use the density functional theory in the local density approximation. Results shows that the band gap decreases with the diameter The susceptibility of these nanowires is also computed. Second, we look at the confinement effect on the piezoelectric coefficients of ZnO and AlN nanowires. The Berry phase method is used. It is found that depending on passivation, thepiezoelectric effect can decrease or increase. Finally, we study the size and direction dependence of the melting temperature of silicon nanowires. We use the molecular dynamics with the Stillinger Weber potential. Results indicate that the melting temperature increases with the nanowire diameter and that it is direction dependent.

Orientador: Sergio Persio Ravagnani / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica / Made available in DSpace on 2018-08-07T03:49:14Z (GMT). No. of bitstreams: 1 Trochmann_JoseLuizLino_D.pdf: 1070584 bytes, checksum: 3407aee7ad6d88d9de0a1326aaf3d29d (MD5) Previous issue date: 2006 / Resumo: Neste trabalho de tese foi realizado um estudo do potencial de predição de propriedades de transporte em matrizes poliméricas de poli - imidas, utilizando a simulação dinâmica molecular de gases simples como Oxigênio, Nitrogênio e Dióxido de Carbono. A propriedade de transporte de interesse prático, a permeabilidade de uma membrana polimérica a um dado penetrante, envolve a determinação de propriedades de ordem cinética e termodinâmica, respectivamente a determinação do coeficiente de difusão e da solubilidade deste penetrante na matriz polimérica. Atenção especial foi conferida à propriedade cinética, pela predição do coeficiente de autodifusão dos penetrantes. Num procedimento experimental clássico é de vital importância para significância das conclusões derivadas dos experimentos, o uso de amostras de membranas poliméricas adequadamente preparadas quanto à composição química, estrutura física e morfologia. Analogamente, quando se utiliza a simulação molecular para a predição de propriedades, tais como o coeficiente de autodifusão, também é de fundamental relevância para os resultados obtidos, a qualidade dos modelos moleculares das matrizes poliméricas, que serão usados como base. Assim para a preparação de modelos moleculares com o adequado empacotamento, um procedimento para a obtenção de modelos bem equilibrados foi desenvolvido neste trabalho. Os modelos moleculares desenvolvidos foram usados para a obtenção dos valores de massa específica em função da temperatura, e comparados aos valores experimentais disponíveis e quando necessário a, valores preditos por meio da expressão de massa específica em função da temperatura, acima e abaixo da temperatura de transição. A capacidade do modelo molecular desenvolvido em predizer a massa especifica e temperatura de transição vítrea foi usada como critério para a validação da adequação do empacotamento proposto para o referido modelo molecular da matriz polimérica. Os modelos validados de empacotamento, células amorfas, foram utilizados para o cálculo do coeficiente de autodifusão dos gases acima mencionados, através do da simulação dinâmica molecular. A comparação dos coeficientes de autodifusão obtidos das poli-imidas aromáticas e éster imidas, BAAF, 6FDA-ODA, PMDA-ODA e BA-20DA, para os gases O2, N2 e CO2, com os dados experimentais, permitiu concluir a adequação das células amorfas e do esquema de simulação dinâmica molecular para a predição do coeficiente de autodifusão.. A versão preditiva de Vrentas e Duda, baseada na teoria do volume livre, foi utilizada para a predição dos coeficientes de autodifusão da água e do etanol para as poli-imidas acima. , Estes valores, quando comparados com os valores obtidos através da simulação dinâmica molecular mostram a validade de ambas as teorias para a predição da cinética de difusão de penetrantes em matrizes poliméricas complexas / Abstract: In this thesis a study of the predictive potential of the molecular dynamic simulation was performed for transport properties of light gases in polyimide matrix. From de practical point of view permeability is the property of most interest, and involves kinetics as well as thermodynamics properties, diffusion coefficient and solubility of the penetrants molecule in the bulk polymeric matrix, this work will be focus in the former. As important as is in as experimental work, a well prepared polymeric membrane is essential for the significance of the draw conclusions. Therefore a special attention was take in the preparation of the bulk molecular polymeric model, the so called amorphous cell, in order to obtain well-equilibrated molecular packing models for the polyimide matrixes. The amorphous cells were prepared throughout thermodynamic transforms, using one or more of the statistical ensembles and cell specific volume obtained as a function of temperature, this data was compared against the experimental data available, and when necessary to data obtained via predictive methods. The molecular packing model ability to predict the glass transition temperature was used as criteria to validate de amorphous cell, to be used in the molecular dynamic' simulations allow the matrix to be locally flexible and coupled to the classic molecular dynamics simulation. The resulting self diffusion coefficients for the polyimide, BAAF, 6FDA-ODA, PMDA­ODA and BA-20DA for the gases O2, N2 e CO2 were compared to the experimental data. The lack of quality experimental diffusion data available for polyimide membranes for larger penetrants as water and ethanol, showed up as a good opportunity to assess the predictive capability of the molecular dynamic simulation for self diffusion coefficients, considering the relevant technological relevance of polyimide membranes for pervaporation process. The data of self diffusion coefficient produced by the predictive version of free-volume theory after Vrentas and Duda, was compared with the data produced via coupled molecular dynamic simulation for the water and ethanol penetrants, showing the relevance of both theories for the prediction of penetrants kinetic in complex polymeric matrixes / Doutorado / Ciencia e Tecnologia de Materiais / Doutor em Engenharia Química