In the present work, a super water-absorbent poly(acrylic acid) was synthetized by inverse suspension polymerization, using Span60 as the dispersant, toluene as the dispersing organic phase, trimethylolpropane triacrylate as the crosslinking agent, and sodium persulfate as the initiator. The synthesis was conducted in a small-scale glass reactor operated in semi-batch mode. The following reaction conditions were evaluated: effects of initiator concentration, temperature, percentage of multifunctional cross-linker agent and monomer concentration. Also, two important properties were determined, conversion and gel fraction. A kinetic model including a population balance was employed to simulate the process. The proposed model uses the numerical fractionation technique and is capable of predicting the pre-gel and post-gel properties, the effect of the crosslinking agent level on the polymer properties and the dynamic of gelation. The model was compared with the experimental results and showed a satisfactory representation of the system after parameter adjusting. / No presente trabalho, o poli (ácido acrílico) super-absorvente foi sintetizado por polimerização em suspensão inversa, usando Span 60 como o dispersante, tolueno como fase orgânica, trimetilolpropano triacrilato como agente de reticulação e persulfato de sódio como iniciador. A síntese foi conduzida num reator de vidro em escala de bancada, operado em modo semi-batelada-batelada. As seguintes condições da reação foram avaliadas: os efeitos da concentração de iniciador, a temperatura, a porcentagem de agente de reticulação multifuncional e a concentração de monómero. Além disso, foram determinadas propriedades importantes, como a conversão e a fração de gel. Da mesma forma, foi desenvolvido um modelo de balanço populacional para simular o processo em conjunto com a técnica de fracionamento numérico, que é capaz de prever as propriedades pré-gel e pós-gel, o efeito do nível do agente de reticulação no polímero e as propriedades da dinâmica de gelificação. O modelo foi comparado com os resultados experimentais e mostrou uma representação satisfatória do sistema após o ajuste dos parâmetros.

L’objectif de cette thèse est de développer un matériau à base de polyméthacrylate de méthyle (PMMA) amorcé par une réaction redox à température ambiante pour produire des composites thermoplastiques. Plus particulièrement, notre travail a consisté à étudier le mécanisme d’amorçage afin d’améliorer la formulation de la résine en terme de cinétique de polymérisation. Afin d’atteindre cet objectif, les paramètres d’Arrhenius de la décomposition d’amorceur ont été déterminés et intégrés dans un modèle de simulation numérique décrivant la polymérisation du MMA à température ambiante développé à l’aide du logiciel PREDICI. Basé sur cette simulation, des différents paramètres ont été testés dans le but de diminuer le temps de polymérisation. En complément de la détermination des paramètres du système d’amorçage, une étude de copolymérisation avec un grand nombre de comonomères a été effectuée. Cette étude a conduit à l’identification d’un monomère permettant d’accélérer la vitesse de polymérisation : le méthacrylate d’acetoacetoxyethyle (AAEMA). Une étude cinétique de ce monomère a été réalisée avec l’identification du coefficient de la vitesse de propagation kp ainsi que les paramètres de copolymérisation avec MMA, rMMA et rAAEMA. Les paramètres cinétiques, qui ont été déterminés expérimentalement, ont été vérifiés par une simulation numérique de copolymérisation de MMA et AAEMA. / Composite materials are used for decades as high-performance materials in industry. Up to date these materials were based on non-recyclable thermoset polymers. Nowadays, environmental and economical restrictions enhance the development of recyclable composite materials. For answering that demand, research focuses on the development of recyclable thermoplastic polymer composites. Within this context, the work of this thesis focuses on the development of a material based on a poly(methyl methacrylate) (PMMA) resin initiated with a redox initiation system at room temperature in order to prepare thermoplastic composites. More precisely, our work consisted of studying this initiation system and to improve the kinetics of the resin formulation. For that purpose, the Arrhenius parameters of the initiator decomposition reaction were determined and implemented in a simulation model that describes the polymerization of MMA at room temperature. Based on the simulation carried out on the software PREDICI, several conditions were tested aiming in the decrease of the polymerization times. Besides investigating parameters concerning the initiation system, a copolymerization study, using a large variety of comonomers, was conducted. This study led to the identification of an interesting fast polymerizing methacrylate: acetoacetoxyethyl methacrylate (AAEMA). The kinetics of this monomer were studied including the determination of the propagation rate coefficient kp and the copolymerization parameters with MMA rMMA and rAAEMA. The determined kinetic parameters were finally verified by a copolymerization simulation of MMA and AAEMA.

Applying mathematical models to dynamic contrast enhanced MRI (DCE MRI) data to perform quantitative tracer kinetic analysis enables the estimation of tissue characteristics such as vascular permeability and the fractional volume of plasma in a tissue. However, it is unclear to what extent modeling assumptions, particularly regarding water exchange between tissue compartments, impacts parameter estimates derived from clinical DCE MRI data. In this work, a new model is developed which includes water exchange effects, termed the water exchange modified two compartment exchange model (WX-2CXM). Two boundaries of this model (the fast and no exchange limits) were used to analyse a clinical DCE MRI bladder cancer dataset. Comparisons with DCE CT, which is not affected by water exchange, suggested that water exchange may have affected estimates of vp, the fractional volume of plasma. Further investigation and simulations led to the development of a DCE MRI protocol which was sensitised to water exchange, in order to further evaluate the water exchange effects found in the bladder cancer dataset. This protocol was tested by imaging the parotid glands in eight healthy volunteers, and confirmed evidence of water exchange effects on vp, as well as flow Fp and the fractional volume of extravascular extracellular space ve. This protocol also enabled preliminary estimates of the water residence times in parotid tissue, however, these estimates had a large variability and require further validation. The work presented in this thesis suggests that, although water exchange effects do not have a large effect on clinical data, the effect is measurable, and may lead to the ability to estimate of tissue water residence times. Results do not support a change in the current practise of neglecting water exchange effects in clinical DCEMRI acquisitions.

Le formaldéhyde, un des produits de base de la chimie, est synthétisé industriellement par un procédé multi-étapes, dans lequel l’efficacité énergétique est limitée. Ainsi, une synthèse par oxydation directe du méthane en phase gazeuse, qui pourrait être plus avantageuse, a été étudiée expérimentalement et par une modélisation cinétique, dans le cadre de ce travail. Pour favoriser la production du formaldéhyde, produit intermédiaire de l’oxydation du méthane, des temps de passage faibles (< 100 ms) ont été envisagés. Un microréacteur annulaire (espace annulaire de 0,5 mm) en quartz a été utilisé, dans lequel la réaction a été étudiée en faisant varier les paramètres opératoires suivants : température (600-1000°C), temps de passage (20-80 ms), rapport XO2/XCH4 (0,5-15) et teneur en NO2 ajoutée (0-0,6%). Sans NO2, les sélectivités en HCHO diminuent avec la conversion et le rendement maximal sans recyclage est de 2.4% (950°C, 60 ms et XO2/XCH4 = 8). L’ajout de NO2 permet de diminuer la température requise de 300°C, et d’augmenter le meilleur rendement en HCHO à 9% (700°C, 30 ms et XO2/XCH4 = 7 et 0,5% de NO2). À faible avancement, la réaction sans NO2 peut être modélisée avec le mécanisme Gri-Mech 3.0 sans aucun ajustement. Pour la réaction avec NO2, après quelques corrections et modifications fondées sur une étude bibliographique, le mécanisme de Zalc et al. (2006) permet de rendre correctement compte des résultats expérimentaux. L’analyse de flux a montré que l’inter-conversion entre NO2 et NO joue un rôle important dans le milieu réactionnel. Elle permet de former continuellement les radicaux réactifs OH•, et de convertir les radicaux CH3• et CH3O2• en radicaux CH3O• / Formaldehyde is one of the world’s top organic intermediate chemicals. It is currently produced by a complex three-step process but a one-step process might require less energy. In this work, the direct gas phase partial oxidation of methane to formaldehyde has been studied through experiments and kinetic modeling. As formaldehyde is an intermediate in the sequential oxidation of methane, short residence times (<100 ms) have been considered in order to optimize its production. Thus, a quartz annular flow microreactor (annular space 0.5 mm wide), was chosen. The undertaken experiments consist of a systematic investigation of the effects of temperature (600-1000°C), residence time (20-80 ms), input composition XO2/XCH4 (0.5-15) and initial NO2 concentration (0-0.6%). Without NO2, the HCHO selectivity decreases with the increasing methane conversion. For a single pass operation, the best HCHO yield is 2.4% (950°C, 60 ms, XO2/XCH4 = 8). The addition of NO2 decreases the reaction initiation temperature by 300°C and it remarkably enhances the HCHO yield. The highest HCHO yield attains 9% (700°C, 30 ms, XO2/XCH4 =7) in the presence of NO2 (0.5%). For the reaction without NO2, the mechanism Gri-Mech 3.0 fits well the experimental results. For the reaction with NO2, by using the mechanism of Zalc et al. (2006) with some modifications, we obtained a good agreement between the experimental data and the model. The production and consumption flux analysis shows that the inter-conversion between NO2 and NO plays an important role in the reaction, because it continuously produces the reactive radicals OH• and it converts the radicals CH3• and CH3O2• to radicals CH3O•

<p>Regulation of metabolism in mammalian cells is achieved through a complex interplay between cellular signaling, metabolic reactions, and transcriptional changes. The modeling of metabolic fluxes in a cell requires the knowledge of all these mechanisms, some of which may be unknown. A cybernetic approach provides a framework to model these complex interactions through the implicit accounting of such regulatory mechanisms, assuming a biological “goal”. The goal-oriented control policies of cybernetic models have been used to predict metabolic phenomena ranging from complex substrate uptake patterns and dynamic metabolic flux distributions to the behavior of gene knockout strains. The premise underlying the cybernetic framework is that the regulatory processes affecting metabolism can be mathematically formulated as a cybernetic objective through variables that constrain the network to achieve a specified biological “goal”. </p><p>Cybernetic theory builds on the perspective that regulation is organized towards achieving goals relevant to an organism’s survival or displaying a specific phenotype in response to a stimulus. While cybernetic models have been established by prior work carried out in bacterial systems, we show its applicability to more complex biological systems with a predefined goal. We have modeled eicosanoid, a well-characterized set of inflammatory lipids derived from arachidonic acid, metabolism in mouse bone marrow derived macrophage (BMDM) cells stimulated by Kdo2-Lipid A (KLA, a chemical analogue of Lipopolysaccharide found on the surface of bacterial cells) and adenosine triphosphate (ATP, a danger signal released in response to surrounding cell death) using cybernetic control variables. Here, the cybernetic goal is inflammation; the hallmark of inflammation is the expression of cytokines which act as autocrine signals to stimulate a pro-inflammatory response. Tumor necrosis factor (TNF)-α is an exemplary pro-inflammatory marker and can be designated as a cybernetic objective for modeling eicosanoid—prostaglandin (PG) and leukotriene (LK)—metabolism. Transcriptomic and lipidomic data for eicosanoid biosynthesis and conversion were obtained from the LIPID Maps database. We show that the cybernetic model captures the complex regulation of PG metabolism and provides a reliable description of PG formation using the treatment ATP stimulation. We then validated our model by predicting an independent data set, the PG response of KLA primed ATP stimulated BMDM cells.</p><p>The process of inflammation is mediated by the production of multiple cytokines, chemokines, and lipid mediators each of which contribute to specific individual objectives. For such complex processes in mammalian systems, a cybernetic objective based on a single protein/component may not be sufficient to capture all the biological processes thereby necessitating the use of multiple objectives. The choice of the objective function has been made by intuitive considerations in this thesis. If objectives are conjectured, an argument can be made for numerous alternatives. Since regulatory effects are estimated from unregulated kinetics, one encounters the risk of multiplicity in this regard giving rise to multiple models. The best model is of course that which is able to predict a comprehensive set of perturbations. Here, we have extended our above model to also capture the dynamics of LKs. We have used migration as a biological goal for LK using the chemoattractant CCL2 as a key representative molecule describing cell activation leading to an inflammatory response where a goal composed of multiple cybernetic objectives is warranted. Alternative model objectives included relating both branches of the eicosanoid metabolic network to the inflammatory cytokine TNF-α, as well as the simple maximization of all metabolic products such that each equally contributes to the inflammatory system outcome. We were again able to show that all three cybernetic objectives describing the LK and PG branches for eicosanoid metabolism capture the complex regulation and provide a reliable description of eicosanoid formation. We performed simulated drug and gene perturbation analyses on the system to identify differences between the models and propose additional experiments to select the best cybernetic model.</p><p>The advantage to using cybernetic modeling is in its ability to capture system behavior without the same level of detail required for these interactions as standard kinetic modeling. Given the complexity of mammalian systems, the cybernetic goal for mammalian cells may not be based solely on survival or growth but on specific context dependent cellular responses. In this thesis, we have laid the groundwork for the application of cybernetic modeling in complex mammalian systems through a specific example case of eicosanoid metabolism in BMDM cells, illustrated the case for multiple objectives, and highlighted the extensibility of the cybernetic framework to other complex biological systems.</p>

[pt] O processo de tratamento de tumores por embolização vascular é sensível ao conjunto de partículas poliméricas empregado, ditos agentes embólicos, cujos fatores como tamanho e morfologia influenciam no sucesso do procedimento e podem ocasionar complicações quando mal dimensionados. Partículas esféricas de poli(acetato de vinila-co-metacrilato de metila) apresentam a maioria das características desejadas após tratamento por hidrólise alcalina. Este material é relativamente novo, o que significa que há uma lacuna de conhecimento em relação ao estudo dos fenômenos que regem sua cinética. Dessa forma, o presente trabalho investigou a cinética de copolimerização responsável pela sua produção. No desenvolvimento matemático, o método dos momentos foi utilizado assumindo estado quase-estacionário para as espécies radicalares. Além disso, o modelo considera difusão das moléculas no meio para contabilização dos efeitos viscosos, comumente determinados empiricamente. Constatou-se que as características físicas dos monômeros, assim como os parâmetros cinéticos da homopolimerização, puderam ser utilizados na copolimerização. Entretanto, como relatado na literatura para outros sistemas, os efeitos viscosos se comportam de forma consideravelmente diferente na copolimerização, sendo necessário a reestimação de alguns parâmetros relativos aos mesmos. Assim, foi possível reproduzir de forma adequada perfis de conversão, massas molares médias e composição do copolímero. Concluiu-se que o modelo proposto é capaz de representar a cinética da copolimerização em suspensão do poli(acetato de vinila-co-metacrilato de metila), possibilitando um melhor controle das características do copolímero aplicado ao procedimento de embolização vascular. Até onde se tem conhecimento, este é o primeiro trabalho que investiga e implementa com sucesso a modelagem cinética desse sistema. / [en] The treatment of vascularized tumors through vascular embolization is sensible to the polymeric particles used during procedure. These embolic agents have attributes, like size and morphology, which play a significant role on the success of this technique and can promote complications when not well dimensioned. Among the many options available, spherical particles of poly(vinyl acetate-co-methyl methacrylate) present most desired characteristics after alkalyne hydrolysis treatment. Being relatively new, the literature lack studies related to the kinetics of production of this material. Therefore, this research investigated the copolymerization kinetics of poly(vinyl acetate-co-methyl methacrylate) production. In the mathematical development, the method of moments was used assuming quasi-steady state for the free radical species. Additionally, the model includes the viscous effects through the diffusion of the involved molecules, which is usually accounted empirically. It was possible to use the physical properties of the monomers as well as the homopolymerization kinetic parameters in the copolymerization. However, as reported in the literature, some parameters are sensible to the system and some viscous effects affect the copolymerization differently. Therefore, some parameters were reestimated. It was possible to predict the conversion, average molecular weights and composition. Consequently, the model was capable of representing the kinetics of the suspension copolymerization of poly(vinyl acetate-co-methyl methacrylate), meaning it could be used to improve the production of this polymer as an embolic agent for vascular embolization procedure. As far as known by the author, this is the first study to successfully perform the kinetic modeling of this specific system.

As the need for both sustainable energy production and waste minimization increases, the gasification of biomass becomes an increasingly important process. What would otherwise be considered waste can now be used as fuel, and the benefits of volume reduction through gasification are seen in the increased lifespan of landfills. Fluidized-bed gasification is a particularly robust technology, and allows for the conversion of most types of waste biomass. Within a fluidized-bed gasifier, thermal medium (sand) is heated to operating temperature (around 1350°F) and begins to fluidize due to the rapid expansion of air entering the bottom of the reactor. This fluidization allows for excellent heat transfer and contact between gases and solids, and prevents localized "hot spots" within the gasifier, thereby reducing the occurrence of ash agglomeration within the gasifier. Solids enter the middle of the gasifier and are rapidly dried and devolatilized, and the products of this step are subsequently oxidized and then reduced in the remainder of the gasifier. A syngas composed mainly of N2, H2O, CO2, CO, CH4, and H2 exits the top of the gasifier. A computer model was developed to predict the syngas composition and flow rate, as well as ash composition and mass flow rate from a fluidized-bed gasifier. A review of the literature was performed to determine the most appropriate modeling approach. A chemical kinetic model was chosen, and developed in MATLAB using the Newton-Raphson method to solve sets of 18 simultaneous equations. These equations account for mass and energy balances throughout the gasifier. The chemical kinetic rate expressions for these reactions were sourced from the literature, and some values modified to better fit the predicted gas composition to literature data.

Controlled radical polymerization (CRP) can be viewed as the middle ground between living anionic polymerization (LAP) and conventional free radical polymerization (FRP). It combines the precise control over polymer structure offered by LAP, under a tolerant reaction condition similar to FRP. One of the most studied CRP is atom transfer radical polymerization (ATRP), with over 10,000 papers published since its introduction in 1995. Despite the numerous studies, knowledge on its fundamental mechanism is still lacking, as evident from the lack of expression for full MWD and polydispersity that account for termination reaction. Since termination is unavoidable in ATRP, the existing expressions give inaccurate predictions as dead chains accumulate. In this study, we derived expressions for full MWD at low conversion and for polydispersity. These expressions allow us to quantify and gain better understanding on the contribution of termination. In addition, the resulting polydispersity expression shows better agreement than the existing equation when correlated with experiment data. In addition to the aforementioned questions, there are also controversies regarding the kinetics of surface-initiated ATRP, with researchers divided into two schools of theories. We evaluated the validity of these theories by comparing their predictions to experimental trends. Both theories were found to be inadequate in explaining all the experimental observations, thus triggering an investigation of the graft density. Graft density is an important determining property for polymer brushes, yet little is known about what affects its final value. Through simulations, we investigated the effect of experiment factors on the grafting density. A decrease in the amount of deactivator is found to decrease the grafting density, which could be explained by an increase in the number of monomers added per activation cycle. This knowledge allows us to explain the conflicting experiment observations regarding the growth trends of polymer layers reported in the literatures. / Thesis / Doctor of Philosophy (PhD) / Polymer materials are used almost everywhere in our daily life from clothing to water bottle. This wide range of applications owes to the nearly infinite possible properties that polymer can possess. Different polymerization processes to synthesize polymers have their own weaknesses and strengths. Herein we investigated the fundamental mechanism of one of the currently most attractive polymerization systems, atom transfer radical polymerization (ATRP). This process allows the synthesis of polymers with precisely tailored chain microstructures, making it possible to create polymer with sophisticated properties. Using modeling approaches, we derived explicit expressions for determining chain properties, allowing detailed investigation of how various factors affect these properties. Through these investigations, we obtained better understanding on the mechanism of ATRP in solution and on surface. This knowledge is crucial in providing insight and guiding experimental designs for better control over the material properties.

No description available.

Cette étude vise à mieux comprendre les réactions impliquées dans le craquage thermique des huiles en basins sédimentaires. Des pyrolyses d'octane, de toluène et de mélanges octane/toluène ont été effectuées entre 330°C et 450°C et des pressions allant de 1 bar à 700 bar. Le mécanisme radicalaire développé permet de rendre compte de l’influence de la température et de la pression sur la distribution des produits ainsi que sur la conversion jusqu'aux conditions de gisement (200°C, 150-1000 bar). Les pyrolyses du toluène pur et du mélange octane/toluène ont permis de modéliser le rôle inhibiteur des alkylaromatiques sur le craquage des hydrocarbures. Cette étude démontre l'importance des co réactions et donc de la composition des huiles sur la stabilité thermique des pétroles en gisements / This study aims at a better understanding of the reactions involved in the thermal cracking of oil within sedimentary basins. Pyrolysis of octane, toluene and mixtures of octane / toluene were performed between 330°C and 450°C and at pressures going from 1 bar to 700 bar. The constructed radical mechanism allows to report the influence of temperature and pressure on the distribution of products as well as the conversion from laboratory to reservoir conditions (200°C, 150-1000 bar). The pyrolysis of pure toluene and the octane / toluene mixture allowed to model the inhibition effect of alkylaromatics on the cracking of hydrocarbons. This study demonstrates the importance of co reactions and thus the composition of oil on the thermal stability of petroleums in reservoirs