A jet-stirred reactor was designed and constructed in the Clean Combustion Research Center (CCRC) at King Abdullah University of Science and Technology (KAUST); was validated with n-heptane, iso-octane oxidation and cyclohexene pyrolysis. Different configurations of the setup have been tested to achieve good agreement with results from the literature. Test results of the reactor indicated that installation of a pumping system at the downstream side in the experimental apparatus was necessary to avoid the reoccurrence of reactions in the sampling probe. Experiments in ethyl levulinate oxidation were conducted in the reactor under several equivalence ratios, from 600 to 1000 K, 1 bar and 2 s residence time. Oxygenated species detected included methyl vinyl ketone, levulinic acid and ethyl acrylate. Ethylene, methane, carbon monoxide, hydrogen, oxygen and carbon dioxide were further quantified with a gas chromatography, coupled with a flame ionization detector and a thermal conductivity detector. The ethyl levulinate chemical kinetic model was first developed by Dr. Stephen Dooley, Trinity College Dublin, and simulated under the same conditions, using the Perfect-Stirred Reactor code in Chemkin software. In comparing the simulation results with experimental data, some discrepancies were noted; predictions of ethylene production were not well matched. The kinetic model was improved by updating several classes of reactions: unimolecular decomposition, H-abstraction, C-C and C-O beta-scissions of fuel radicals. The updated model was then compared again with experimental results and good agreement was achieved, proving that the concerted eliminated reaction is crucial for the kinetic mechanism formulation of ethyl levulinate. In addition, primary reaction pathways and sensitivity analysis were performed to describe the role of molecular structure in combustion (800 and 1000 K for ethyl levulinate oxidation in the jet-stirred reactor).

Hydrogen economy is capitalizing the decarbonization of transport and industrial sectors. Ammonia is an attractive intermediate to store and transport hydrogen, due to its low production cost, well developed storage and transportation infrastruc- ture, high hydrogen density in its liquified form (for transportation) and the potential production from renewable energy sources. Although there have been significant ad- vancements in catalyst development for ammonia decomposition, the potential of this technology cannot be fully exploited until significant process development is made. In this sense, catalytic membrane reactors show promising features and performances. In this work, ammonia decomposition has been studied using the following ap- proach: (1) Catalytic Packed Bed Reactor (CPBR) and kinetic modeling, (2) Cat- alytic Packed Bed Membrane Reactor (CPBMR) modeling and (3) CPBMR scale-up. Stage (1) was performed using Ru-K/CaO and Co-Ce catalysts over a wide range of experimental conditions (including pressures up to 16 bar). Stage (2) includes 1-D and 2-D models that were further validated experimentally, also using different software to tackle the stage (3), which aims to give the optimized geometry and properties of a CPBMR for a production of 5 N m3 h−1 of high purity H2 . The results presented in this Thesis enabled to: (1) obtain a reliable kinetic model capable of describing the ammonia decomposition under a wide range of operating conditions, using Ru-K/CaO and Co-Ce catalysts. (2) identify a range of operat- ing conditions where the CPBMR performs better than the CPBR in terms of NH3 conversion, H2 recovery and H2 purity. This range includes: reaction temperature between 250◦C and 500◦C; reaction pressures between 1 and 16 bar; space times be- tween 1 and 15 gcat h mol−1 and H2 permeate pressure higher than the atmospheric pressure (up to 5 bar). (3) scale-up the CPBMR for ammonia decomposition at a pilot scale, encountering that a pilot plant for a production of 5 N m3 h−1 of pure H2 ( >99.99%) could be obtained with a relatively small multitubular arraignment, that might be even smaller than the needed for the same product using other technology.

Oxidative coupling of methane (OCM) represents a potentially viable method to convert methane directly into more desirable products such as ethane, and ethylene. In this dissertation, a comprehensive kinetic study of oxidative coupling of methane was performed over La2O3-based catalysts. An accurate and reliable gas-phase model is critical for the entire mechanism. The gas-phase kinetics was first studied using a jet-stirred reactor without catalyst. Both experiments and simulations were conducted under various operating conditions using different gas-phase models. Quantities of interest and rate of production analyses on hydrocarbon products were also performed to evaluate the models. NUIGMech1.1 was selected as the most comprehensive model to describe the OCM gas-phase kinetics and used for the next study. Next, microkinetic analysis on La2O3-based catalysts with different dopants was performed. The Ce addition has the greatest boost over the performance. The kinetics at low conversion regimes were analyzed and correlated to the catalysts’ properties. The activation energy for methane hydrogen abstraction was estimated, with the formation rate of primary products, which suggested that the initiation reaction steps were similar for La2O3-based catalyst. A homogeneous-heterogeneous kinetic model for La2O3/CeO2 catalyst was then constructed. By applying in situ XRD, the doping of CeO2 not only enhanced catalytic performance but also improved catalyst stability from CO2 and H2O. A wide range of operating conditions was investigated experimentally and numerically, where a packed bed reactor model was constructed based on the dimensions of experimental setup and catalyst characterization. The rate of production (ROP) was also performed to identify the important reactions and prove the necessity of surface reactions for the OCM process. Laser-induced fluorescence was implemented to directly observe the presence of formaldehyde. The last section includes the implementation of in situ laser diagnosis techniques at the near-surface region to solve the existing challenges. Raman scattering was implemented to quantitate the concentration profiles of major stable species near the surface and measure the in situ local temperatures at different heights above the catalyst surface, to study the kinetics transiting from the surface edge to the near-surface gas phase and provide a new perspective in OCM kinetic studies.

In this work, multiple kinetic models have been screened as potential candidates for simulating the performances of three oxidative coupling of methane (OCM) catalysts. Two of the proposed models were subjected to testing and optimization. The types of models screened covered both kinetic and microkinetic type models, i.e., radical omitting and radical considering. Some of the models only accounted for catalytic heterogeneous pathways, while others have expanded on the homogeneous gas-phase mechanism of the OCM reaction. The optimization process was carried out in MATLAB® R2020a using an error minimization tool. The range of experimental conditions examined was as follows: 740–800◦C, 100 kPa, 2–4 CH4/O2 ratio, 1–6 gcat h molC –1 spacetime. The results show successful optimization of both models as well as discrepancies in terms of their performances in predicting experimentally obtained values of CH4 and O2 conversions, as well as selectivities towards COx and C2+ products. While a kinetic model served as an easy option to optimize, it expressed limits in terms of achievable performance, mainly failing to simulate experimental runs conducted at low spacetimes. A microkinetic model on the other hand, managed to simulate all experimental conditions, with less accuracy towards COx species and much greater computational demand.

Résumé : En imagerie médicale, il est courant d’associer plusieurs modalités afin de tirer profit des renseignements complémentaires qu’elles fournissent. Par exemple, la tomographie d’émission par positrons (TEP) peut être combinée à l’imagerie par résonance magnétique (IRM) pour obtenir à la fois des renseignements sur les processus biologiques et sur l’anatomie du sujet. Le but de ce projet est d’explorer les synergies entre l’IRM et la TEP dans le cadre d’analyses pharmacocinétiques. Plus spécifiquement, d’exploiter la haute résolution spatiale et les renseignements sur la perfusion et la perméabilité vasculaire fournis par l’IRM dynamique avec agent de contraste afin de mieux évaluer ces mêmes paramètres pour un radiotraceur TEP injecté peu de temps après. L’évaluation précise des paramètres de perfusion du radiotraceur devrait permettre de mieux quantifier le métabolisme et de distinguer l’accumulation spécifique et non spécifique. Les travaux ont porté sur deux radiotraceurs de TEP (18F-fluorodésoxyglucose [FDG] et 18F-fluoroéthyle-tyrosine [FET]) ainsi que sur un agent de contraste d’IRM (acide gadopentétique [Gd DTPA]) dans un modèle de glioblastome chez le rat. Les images ont été acquises séquentiellement, en IRM, puis en TEP, et des prélèvements sanguins ont été effectués afin d’obtenir une fonction d’entrée artérielle (AIF) pour chaque molécule. Par la suite, les images obtenues avec chaque modalité ont été recalées et l’analyse pharmacocinétique a été effectuée par régions d’intérêt (ROI) et par voxel. Pour le FDG, un modèle irréversible à 3 compartiments (2 tissus) a été utilisé conformément à la littérature. Pour la FET, il a été déterminé qu’un modèle irréversible à 2 tissus pouvait être appliqué au cerveau et à la tumeur, alors qu’un modèle réversible à 2 tissus convenait aux muscles. La possibilité d’effectuer une conversion d’AIF (sanguine ou dérivée de l’image) entre le Gd DTPA et la FET, ou vice versa, a aussi été étudiée et s’est avérée faisable dans le cas des AIF sanguines obtenues à partir de l’artère caudale, comme c’est le cas pour le FDG. Finalement, l’analyse pharmacocinétique combinée IRM et TEP a relevé un lien entre la perfusion du Gd-DTPA et du FDG, ou de la FET, pour les muscles, mais elle a démontré des disparités importantes dans la tumeur. Ces résultats soulignent la complexité du microenvironnement tumoral (p. ex. coexistence de divers modes de transport pour une même molécule) et les nombreux défis rencontrées lors de sa caractérisation chez le petit animal. / Abstract : In medical imaging, different modalities are frequently combined in order to obtain complementary information. For example, positron emission tomography (PET) can be associated with magnetic resonance imaging (MRI) to derive both anatomical and biological information. This project explores the synergies between MRI and PET for pharmacokinetic modeling. Specifically, it exploits the high spatial resolution of MRI as well as the information about perfusion and vascular permeability derived from dynamic contrast-enhanced studies to better assess these parameters in a PET radiotracer injected shortly after the MRI examination. This more precise assessment of perfusion is thought to improve metabolism quantification for the radiotracer and to discriminate between its specific and non-specific accumulation. The present work focussed on 2 PET radiotracers, (18F-fluorodeoxyglucose [FDG] and 18F-fluoroethyltyrosine [FET]) as well as a MRI contrast agent (gadopentetic acid [Gd-DTPA]) applied to a rat glioblastoma model. Images were acquired using a sequential MRI-PET protocol and blood was drawn to derive the arterial input function (AIF) for each molecule. PET and MR images were subsequently registered and pharmacokinetic modeling was performed on regions of interest (ROI) or voxel-wise. For FDG, an irreversible 3 compartments (2-tissue) model was used in accordance to the literature. For FET, it was determined that an irreversible 2-tissue model is applicable for the brain and the tumor and a reversible 2-tissue model is preferred for the muscles. AIF (blood or image-derived) conversion between Gd-DTPA and FET, or vice versa, was also considered and proved feasible for the blood AIF derived from the caudal artery, similar to FDG. Finally, combined kinetic modeling for MRI and PET showed a relationship between the perfusion of FDG, or FET, and that of Gd-DTPA in muscle. Important disparities were noted for the tumor. These results illustrate the complexity of the tumor microenvironment (e.g. presence of various transport mechanisms for the same molecule) and the numerous challenges encountered during its characterization in small animals.

Dans le contexte énergétique actuel où le développement de carburant alternatif devient un enjeu majeur pour la recherche, ce travail se propose de développer un modèle cinétique prédictif de l'hydrolyse enzymatique de la cellulose qui représente une des étapes limitantes du procédés de production d'éthanol à partir de biomasse par voie biochimique. Pour mieux comprendre les mécanismes réactionnels mis en jeu, une approche expérimentale a été choisi, avec d'une part la caractérisation cinétique des enzymes impliquées dans la réaction d'hydrolyse et d'autres part le suivi de l'évolution des propriétés structurales et de la réactivité du substrat. L'étude de la réactivité des enzymes pures et en mélange a permis de montrer que le cocktail réel sécrété par Trichoderma reesei peut être représenté par un mélange de quatre enzymes majoritaires. Puis, la caractérisation multi-échelle de substrats partiellement hydrolysés a permis de mettre en évidence le mécanisme d'érosion des particules par les enzymes. Le modèle cinétique développé, prenant en compte la réactivité des enzymes pures, les phénomènes de synergies et une description du substrat a permis d'expliquer les résultats obtenus en cinétique initiale. Cependant, l'introduction des phénomènes de perte de réactivité du substrat et de désactivation des enzymes ont dus être introduit pour améliorer la prédiction du modèle en cinétique globale. / In the worldwide energetic context, developing new carburant is an important topic for researchers. The enzymatic hydrolysis of cellulose is still considered as a main limiting step of the biological production of biofuels from lignocellulosic biomass. In order to better understand mechanisms involved in this reaction, an experimental study have been performed. On the one hand; kinetic parameters of enzymes used during the enzymatic hydrolysis have been determined and on the other hand, we have studied the evolution of substrates morphology and reactivity during the reaction. Pure enzymes and mix of enzymes have been studied and we demonstrate that the entire cocktail secreted by Trichoderma reesei can be described by a mix of four main enzymes. Then, structural characterization of partially hydrolysed substrate have shown that cellulosic particles are eroded by enzymes. The developed kinetic model considering the intrinsic reactivity of each enzymes, the synergy between enzymes and a substrate description allows a good description of the initial stage of the reaction. However, the substrate reactivity loss and the enzyme deactivation had been introduced to have a good description of the entire reaction.

Les fluides spéciaux (mélanges d’hydrocarbures utilisés comme solvants pour applications diverses) sont produits à partir de l’hydrodésaromatisation des charges pétrolières (naphta et distillats moyens) initialement riches en aromatiques. Leur mise en marché respecte une exigence environnementale (moins de 100 ppm en aromatique) parfois difficile à atteindre compte tenu de la composition initiale de la charge. Par conséquent, à partir de l’identification des molécules réfractaires à l’hydrogénation, un choix de molécules modèles réparti selon trois familles, les monoaromatiques (toluène, indane, tétraline, cyclohexylbenzène, nonylbenzène), les diaromatiques (naphtalène, biphényle) et les triaromatiques (phénanthrène), a permis d’étudier leur réactivité dans les conditions opératoires d’hydrogénation.A partir d’une approche expérimentale couplée à la modélisation cinétique, les schémas réactionnels et une échelle de réactivité ont été établis pour ces molécules modèles. Leur transformation conduit majoritairement du produit totalement hydrogénés. Les monoaromatiques sont les plus réactifs alors que les triaromatiques sont les moins réactifs. Néanmoins, en mélange, le pouvoir inhibiteur d’une molécule sur l’hydrogénation des autres aromatique augmente avec son aromaticité. Le phénanthrène est alors la molécule la plus inhibitrice. Les polyaromatiques engendrent alors une accumulation de monoaromatiques rendant difficile l’hydrogénation totale des charges pétrolières. Ceci est dû à des effets de compétition à l’adsorption à la surface du catalyseur entre les aromatiques qui ont été chiffrés en déterminant à partir d’un modèle suivant le formalisme de Langmuir-Hinshelwood. / Special fluids (hydrocarbon mixture used as solvents for various applications) are produced from deep hydrodearomatization of petroleum distillates (naphta and middle distillates) with high aromatic contents. Their commercialization follows a stringent environmental regulation (less than 100 ppm of aromatics) that is not always reachable due to the initial feedstock composition. Therefore, from the refractory molecules identification for hydrogenation, a selection of three families of model molecules, monoaromatics (toluene, indane, tetralin, cyclohexylbenzene, and nonylbenzene), diaromatics (naphthalene, biphenyl) and triaromatics (phenanthrene) allowed to study their reactivity in the hydrogenation operating conditions.By an experimental approach coupled with kinetic modeling, reaction schemes and a reactivity scale were established for these model molecules. Their transformation leads to the major formation of the saturated product. Monoaromatics are the most reactive while triaromatics are the less reactive. However, in mixture, the inhibiting strength of a molecule on the other aromatic hydrogenation increases with their aromaticity. Therefore, phenanthrene is the strongest inhibitor. Polyaromatics provoke an accumulation of monoaromatics generating a challenging petroleum distillates total hydrogenation. This is due to competitive adsorption effects at the catalyst surface between aromatics that was quantified from a model following the Langmuir-Hinshelwood formalism.

Reforma catalítica de nafta é um dos processos mais importantes para a produção de gasolina de alta octanagem, hidrocarbonetos aromáticos e hidrogênio na indústria de petróleo e petroquímica. Para predizer os rendimentos e as propriedades dos produtos ou mesmo melhorar as condições de processo é recomendado descrever o processo matematicamente em termos de modelos cinéticos. A nafta tem um grande número de compostos com número de carbonos variando de cinco a doze, assim, um modelo considerando todos os componentes e reações, é complexo. Modelos baseados em lumps costumam agrupar os compostos em isômeros de mesma natureza. Neste trabalho, é proposto um modelo cinético de uma unidade comercial de reforma catalítica com regeneração contínua de catalisador (CCR Continuous Catalyst Regeneration) capaz de predizer o perfil de temperatura e a de composição dos produtos ao longo do reator. O modelo é baseado na análise de hidrocarbonetos parafínicos, naftênicos e aromáticos e na temperatura de carga. A cinética envolve 24 reações modeladas como de pseudo-primeira ordem e 19 componentes. Os parâmetros cinéticos foram estimados usando dados de uma unidade da Petrobras, localizada em Cubatão-SP. O modelo proposto descreve a operação de quatro reatores com fluxo radial representando-os como um reator de fluxo pistonado (PFR Plug Flow Reactor), pois nas condições de operação os efeitos de dispersão radial e axial são assumidos desprezíveis. Os resultados mostram que o modelo pode ser usado para prever os rendimentos de benzeno, tolueno, xileno e hidrogênio. Para os demais compostos os resultados demonstram a necessidade de sofisticação da abordagem. O modelo representa de forma adequada a variação da concentração dos compostos e da temperatura ao longo do inventário de catalisador. / Naphtha catalytic reforming is one of the most important processes for producing high octane gasoline, aromatic products and hydrogen in petroleum and petrochemical industries. To predict yield and properties of the products or even improve the process conditions it is recommended to mathematically describe the process in terms of kinetic models. The naphtha feedstock has a large number of compounds with carbon number ranging from five to twelve. Thus, a detailed kinetic model considering all the components and reactions is complex. Lumping models are used to group the compounds in terms of isomers of the same nature. A kinetic and reactor model of a commercial naphtha continuous catalytic reforming process is proposed to predict temperature profile and products composition. The model is based on paraffins, naphthenes and aromatics analysis and reformer inlet temperature. Kinetics involves 24 pseudo-first-order rate reactions with 19 compounds. All parameters were estimated from industrial data of a Petrobras Refinery at Cubatão-SP. The reactor model describes four radial flow reactors represented by a PFR, due to the fact that under typical reformer operating conditions, radial and axial dispersion effects were found to be negligible. Simulation results demonstrate good agreements between model predictions and actual plant data for benzene, toluene, xylenes and hydrogen. For the remaining compounds, the model output suggests the need for approach sophistication. Nevertheless, the model adequately represents

Les immunoessais en phase solide sont utilisés pour le diagnostic in vitro afin de détecter ou de quantifier une molécule dans un échantillon biologique. Ils s'appuient sur l'interaction spécifique entre un antigène et un anticorps. Habituellement, des anticorps spécifiques aux antigènes à détecter sont immobilisés sur une surface solide pour capturer les antigènes d'intérêt et les séparer du reste de l'échantillon.Lors du développement d'un immunoessai, la sensibilité, la spécificité et le temps d’analyse sont optimisés par le choix - classiquement empirique - de ligands, de supports solides, de débits,… Une meilleure compréhension et prédiction des interactions moléculaires complexes se produisant au cours d’un immunoessai seraient utiles pour : identifier les paramètres critiques des immunoessais, simplifier et accélérer le processus d’identification des meilleures conditions opératoires et améliorer les immunoessais existants.L'instrument VIDAS®, commercialisé par bioMérieux, est l'un des systèmes d’immunoessais les plus utilisés dans les laboratoires cliniques. Dans ce travail de thèse, deux outils expérimentaux basés sur la chromatographie inverse sont construits et testés. Un modèle prédictif de la cinétique d'interaction anticorps/antigène est développé. Les outils expérimentaux, fonctionnant dans des conditions très proches du VIDAS®, sont utilisés pour valider le modèle et estimer ses paramètres caractérisant les interactions anticorps/antigène à partir de courbes expérimentales. Dans l’avenir et à partir des résultats, un des outils expérimentaux associé au modèle pourra être utilisé par bioMérieux pour concevoir des systèmes d’immunoessais / Solid-phase immunoassays are used for in vitro diagnostic to detect the presence or measure the concentration of a molecule of interest in a biological sample. They rely on the specific interaction between an antigen and an antibody. Usually, antibodies specific to the antigens to be detected are immobilized on a solid surface to capture the antigens of interest and separate them from the rest of the sample components. During solid-phase immunoassay development, sensitivity, specificity and time-to-result need to be optimized through the choice of dedicated ligands, solid supports, flow rates,… Classically, these choices are made empirically. A better understanding and prediction of the complex molecular interactions that occur in the different steps of a diagnostic immunoassay is likely to be useful to: identify the critical parameters of immunoassays, simplify and speed-up the process of identification of the best immunoassay conditions and improve the immunoassays currently available. The VIDAS® instrument, commercialized by bioMérieux is one of the most widely used immunoassay system in clinical laboratories worldwide. In this PhD work, two experimental tools based on inverse chromatography are built and tested. A predictive model of antibody/antigen interaction kinetics in immunoassays is developed. The experimental tools which mimic VIDAS® process conditions are used to validate the predictive model and to estimate model parameters characterizing antibody/antigen interaction kinetics from experimental curves. In the future, based on the results, one of the experimental tools associated with the model could be used by bioMérieux to design immunoassay systems

Biofuels are of particular interest as they have the potential to reduce our dependence on petroleum-derived fuels for transportation. 1-Hexanol is a promising renewable long chain alcohol that can be used in conventional fuel blends or as a cosolvent for biodiesel mixtures. However, the fundamental combustion properties of 1-hexanol have not been fully characterized in the literature. Thus, new experimental results, consisting of temperature and concentration profiles of stable species were obtained for the oxidation of 1-hexanol generated in an opposed-flow diffusion flame at 0.101 MPa. The kinetic model consists of 361 chemical species and 2687 chemical reactions (most of them reversible). This experimental data were compared to the predicted values of a detailed chemical kinetic model proposed in literature to study the combustion of 1-hexanol. Reaction pathway and sensitivity analyses were performed to interpret the results. In addition, several improvements were investigated to optimize the proposed chemical kinetic mechanism.