930 resultados para sol-gel processing


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Résumé : La texture dispose d’un bon potentiel discriminant qui complète celui des paramètres radiométriques dans le processus de classification d’image. L’indice Compact Texture Unit (CTU) multibande, récemment mis au point par Safia et He (2014), permet d’extraire la texture sur plusieurs bandes à la fois, donc de tirer parti d’un surcroît d’informations ignorées jusqu’ici dans les analyses texturales traditionnelles : l’interdépendance entre les bandes. Toutefois, ce nouvel outil n’a pas encore été testé sur des images multisources, usage qui peut se révéler d’un grand intérêt quand on considère par exemple toute la richesse texturale que le radar peut apporter en supplément à l’optique, par combinaison de données. Cette étude permet donc de compléter la validation initiée par Safia (2014) en appliquant le CTU sur un couple d’images optique-radar. L’analyse texturale de ce jeu de données a permis de générer une image en « texture couleur ». Ces bandes texturales créées sont à nouveau combinées avec les bandes initiales de l’optique, avant d’être intégrées dans un processus de classification de l’occupation du sol sous eCognition. Le même procédé de classification (mais sans CTU) est appliqué respectivement sur : la donnée Optique, puis le Radar, et enfin la combinaison Optique-Radar. Par ailleurs le CTU généré sur l’Optique uniquement (monosource) est comparé à celui dérivant du couple Optique-Radar (multisources). L’analyse du pouvoir séparateur de ces différentes bandes à partir d’histogrammes, ainsi que l’outil matrice de confusion, permet de confronter la performance de ces différents cas de figure et paramètres utilisés. Ces éléments de comparaison présentent le CTU, et notamment le CTU multisources, comme le critère le plus discriminant ; sa présence rajoute de la variabilité dans l’image permettant ainsi une segmentation plus nette, une classification à la fois plus détaillée et plus performante. En effet, la précision passe de 0.5 avec l’image Optique à 0.74 pour l’image CTU, alors que la confusion diminue en passant de 0.30 (dans l’Optique) à 0.02 (dans le CTU).

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La catalyse est à la base de la fabrication de médicaments, de produits textiles, d‘engrais, des pots d’échappement, et une multitude d’autres applications de notre quotidien. En effet, dans les pays industrialisés jusqu’à 80% des produits manufacturés utilisés au quotidien ont nécessité au moins une étape de catalyse lors de leur fabrication. Outre être actif, il est primordial pour un catalyseur performant d’être résistant à la désactivation qui se traduit par la perte d’activité ou de sélectivité d’un catalyseur au cours du temps. La synthèse d’un matériau multifonctionnel permet de répondre à ces différents critères. L’objectif d’un design intelligent de matériaux est de mener à des effets synergiques de chacune des composantes. Pour un catalyseur, en plus d’être actif et sélectif pour le produit désiré, il faut en plus qu’il soit durable, stable dans le temps, et permette d’être réutilisable. L’objectif de ce projet est de faire une synthèse originale, simple et reproductible d’un catalyseur actif et résistant à la désactivation. De base, un catalyseur se compose d’un support et d’un matériau actif. La nature, la morphologie et l’agencement de ces derniers dictent le comportement chimique du catalyseur final. Comme matériau actif, les nanoparticules d’or sont très prisées en raison de leur potentiel de catalyse élevée pour de nombreuses réactions. Cependant, aux températures de fonctionnement de la catalyse, les nanoparticules d’or ont tendance à se désactiver par coalescence. Pour remédier à cela, il est possible de déposer une couche de silice mésoporeuse afin de protéger les NPs d’or des rudes conditions de réaction tout en étant perméables aux espèces réactives. Plusieurs types de matériaux peuvent servir de support aux nanoparticules d’or. À ce titre, les particules d’oxydes de fer magnétiques telles que la magnétite (Fe[indice inférieur 3]O[indice inférieur 4]) sont intéressantes pour leur potentiel hyperthermique, phénomène par lequel des nanoparticules (NPs) magnétiques transforment de l’énergie électromagnétique provenant d’un champ externe haute fréquence en chaleur, créant ainsi des nano-fours. Une première couche de silice est utilisée comme matrice de greffage afin de fixer les nanoparticules d’or sur la magnétite. La structure visée est illustrée à la Figure ci-dessous. Figure 1 Structure du catalyseur de Fe2O4@SiO2-Au-SiO2m (Ge, Zhang, Zhang, & Yin, 2008) Plusieurs avenues d’assemblage et de synthèse sont explorées pour chacune des composantes de la structure visée. Les avantages et inconvénients ainsi que des mécanismes sont proposés pour chaque voie de synthèse. Le matériau est utilisé comme catalyseur pour la réaction de réduction du 4-Nitrophénol par du NaBH4. Pour ce qui est de la synthèse de magnétite par voie solvothermique, il a été démontré qu’il était important d’être dans un milieu sous pression puisque l’étape limitante de la réaction est la solubilité des particules de magnétites dans le milieu. Cela est en accord avec le principe de mûrissement d’Ostwald selon lequel les petites particules ont tendance à se dissoudre dans le milieu et précipiter à la surface des plus grosses particules de façon à diminuer l’énergie interfaciale. Cette synthèse a été reproduite avec succès et a mené à la production de nanoparticules de Fe[indice inférieur 3]O[indice inférieur 4] sphériques creuses d’une taille de 150 [plus ou moins] 30nm. Ces sphères creuses ont été recouvertes d’une couche de silice dense par une méthode de Stöber modifiée. Le recouvrement forme des amas de particules et est non uniforme en raison de la présence de poly(éthlyène glycol) à la sur face de la magnétite, un adjuvant présent lors de sa synthèse afin d’améliorer la dispersion de la magnétite. La synthèse et le greffage d’AuNPs sont bien maîtrisés : les AuNPs ont une taille de 17 [plus ou moins] 6nm et la quantité d’or greffé est assez élevée. Ultimement, une méthode de greffage alternative tel que le greffage par croissance in situ de nanoparticules d’or pourrait être emprunté afin d’obtenir des particules plus petites. Pour ce qui est de la formation d’une couche de silice mésoporeuse, la méthode par calcination est une meilleure option que par gravure chimique en raison de sa sélectivité envers la couche externe de silice plus élevée ainsi que la formation apparente de pores.

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In this work the maximum carbon dioxide adsorption capacity of carbon aerogels, obtained by a sol-gel process using 2,4-dihydroxybenzoic acid/formaldehyde (DHBAF) and resorcinol/formaldehyde (RF) as precursors, was studied. The effect of increasing the temperature of carbonization and physical activation of the samples DHBAF was also studied. The results showed that the maximum adsorption capacity is favoured at lower temperatures, adsorption and desorption are rapid and the performance is maintained over several cycles of CO2 adsorption/desorption. A comparison with samples of commercial carbons was also made and it was concluded that carbon aerogels exhibit a behaviour comparable or superior to that obtained for the commercial carbons studied.

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Technical diversity and various knowledge is required for the understanding of undoubtedly complex system such as a Lithium-ion battery. The peculiarity is to combine different techniques that allow a complete investigation while the battery is working. Nowadays, research on Li-ion batteries (LIBs) is experiencing an exponential growth in the development of new cathode materials. Accordingly, Li-rich and Ni-rich NMCs, which have similar layered structure of LiMO2 oxides, have been recently proposed. Despite the promising performance on them, still a lot of issues have to be resolved and the materials need a more in depth characterisation for further commercial applications. In this study LiMO2 material, in particular M = Co and Ni, will be presented. We have focused on the synthesis of pure LiCoO2 and LiNiO2 at first, followed by the mixed LiNi0.5Co0.5O2. Different ways of synthesis were investigated for LCO but the sol-gel-water method showed the best performances. An accurate and systematic structural characterization followed by the appropriate electrochemical tests were done. Moreover, the in situ techniques (in-situ XRD and in situ OEMS) allowed a deep investigation in the structural change and gas evolution upon the electrochemically driven processes.

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Solar fuels from CO2 is a topic of current large scientific and industrial interest. In particular, photo-electrochemical cells (PECs) represent today one of the most promising technology for storing sun energy as chemical bonds exploiting carbon dioxide as starting reagent. In this thesis, the possibility of using Aurivillius-type compounds for the production of solar fuels was deeply investigated. Aurivillius-type perovskites, with general formula Bi(n+1)Fe(n-3)Ti3O(3n+3), were synthesized and fully characterized to study the influence of the number of perovskite layers as well as of the synthesis parameters onto their final properties. In particular, 8 different systems were considered increasing the amount of iron and, as a consequence, the number of perovskite layers. These compounds were synthesized through a standard solid-state reaction method as well as via a sol-gel technique and characterized by XRD, SEM and BET analyses. The band gap value and the photocatalytic activity towards Rhodamine B decomposition were assessed as well. For each system, a screen-printing ink was formulated to be deposited as photo-electrodes onto transparent conducting supports. The photo-electrodes were morphologically characterized by XRD and SEM analysis, and their electrochemical properties (cyclic and linear voltammetry, EIS, Mott-Schottky analysis) were determined. Finally, the most promising materials were tested as photo-cathode inside PEC cell under different illumination conditions, to quantify their ability to convert CO2. The obtained results show the potentiality of Aurivillius-type compounds as innovative material for carbon dioxide photo-electrochemical reduction.

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The field of medical devices has experienced, more than others, technological advances, developments and innovations, thanks to the rapidly expanding scientific knowledge and collaboration between different disciplines such as biology, engineering and materials science. The design of functional components can be achieved by exploiting composite materials based on nanostructured smart materials, that due to the inherent characteristics of single constituents develop unique properties that make them suitable for different applications preserving excellent mechanical proprieties. For instance, recent developments have focused on the fabrication of piezoelectric devices with multiple biomedical functions, as actuation and sensing functions in one component for monitoring pressure signals. The present Ph.D. Thesis aims at investigating nanostructured smart materials embedded into a polymeric matrix to obtain a composite material that can be used as a functional component for medical devices. (i) Nanostructured piezoelectric material with self-sensing capability was successfully manufactured by using ceramic (i.e. lead zirconate titanate (PZT)) and (ii) polymeric (i.e. poly(vinylidene fluoride-trifluoro ethylene (PVDF-TRFE)) piezoelectric materials. PZT nanofibers were obtained by sol-gel electrospinning starting from synthetized PZT precursor solution. Synthesis, sol-gel electrospinning process, and thermal treatment were accurately controlled to obtain PZT nanofibers dimensionally stable with densely packed grains in the perovskite phase. To guarantee the impact resistance of the laminate, the morphology and size of the hosting filler were accurately designed by increasing the surface area to volume ratio. Moreover, to solve the issue relative to the mechanical discrepancy between rigid electronic materials/soft human tissues/different material of the device (iii) a nanostructured flexible composite material based on a network of Poly-L-lactic acid (PLLA) made of curled nanofibers that present a tuneable mechanical response as a function of the applied stress was successful fabricated.

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In questo lavoro di tesi è stata investigata la sintesi di compositi a base di nano particelle di biossido di titanio rivestite da un bio-tensioattivo naturale. Il noto fotocatalizzatore (Nano-TiO2) è stato accoppiato ad un bio-tensioattivo dalle riconosciute proprietà antibatteriche, antivirali e anti-tumorali per ottenere un materiale composito multifunzionale. Diverse opzioni di design sono state investigate e la sintesi ottimizzata attraverso una caratterizzazione sistematica dei materiali prodotti, sia sulle sospensioni (DLS, ELS, TEM) sia sui prodotti granulati e calcinati (XRD, FT-IR, SEM, UV-Vis., BET). Per comprendere il ruolo del bio-tensioattivo e i potenziali effetti sinergici che il materiale composito potesse generare, si sono effettuate diverse caratterizzazioni funzionali testando il materiale per la realizzazione di nano-fasi fotocatalitiche da impiegare in processi di adsorbimento/degradazione di inquinanti acquosi, per la realizzazione di rivestimenti tessili antibatterici e come composito utile per l’assorbimento di metalli pesanti.

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In this work, two different protocols for the synthesis of Nb2O5-SiO2 with a sol-gel route in which supercritical carbon dioxide was used as solvent have been developed. The tailored design of the reactor allowed the reactants to come into contact only when supercritical CO2 is present, and the high-throughput experimentation scCO2 unit allowed the screening of synthetic parameters, that led to a Nb2O5 incorporation into the silica matrix of 2.5 wt%. N2-physisorption revealed high surface areas and the presence of meso- and micropores. XRD allowed to demonstrate the amorphous character of these materials. SEM-EDX proved the excellent dispersion of Nb2O5 into the silica matrix. These materials were tested in the epoxidation of cyclooctene with hydrogen peroxide, which is considered an environmentally friendly oxidant. The catalysts were virtually inactive in an organic, polar, aprotic solvent (1,4-dioxane). However, the most active scCO2 Nb2O5-SiO2 catalyst achieved a cyclooctene conversion of 44% with a selectivity of 88% towards the epoxide when tested in ethanol. Catalytic tests on cyclohexene revealed the presence of the epoxide, which is remarkable, considering that this substrate is easily oxidised to the diol. The behaviour in protic and aprotic solvents is compared to that of TS-1.

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The aim of this study was to evaluate the influence of high hydrostatic pressure (150, 250, 350, 450, and 550 MPa), applied for 5 minutes, on antioxidant capacity, total phenolic content, color, firmness, rehydration ratio, and water holding capacity of aloe vera gel stored for 60 days at 4 °C. The analyzed properties of the pressurized gel showed significant changes after the storage period. The highest value of total phenolic content was found at 550 MPa. However, a decrease in the antioxidant capacity was observed for all pressurized gel samples when compared to the control sample (p < 0.05). The smallest changes in product color were observed at pressure levels between 150 and 250 MP. The application of high hydrostatic pressure resulted in lower gel firmness, and the lowest value was found at 150 MPa (p < 0.05). On the other hand, the untreated sample showed a greater decrease in firmness, indicating that high pressure processing preserves this property. The application of high hydrostatic pressure exhibited modifications in the food matrix, which were evaluated in terms of rehydration ratio and water holding capacity.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The present paper reports on the structural change and rheological behavior of mixtures of macromolecular suspensions (guar and xanthan gums) in crossflow microfiltration processing. Mixtures in suspension of guar and xanthan gums at low concentrations (1,000 ppm) and different proportions were processed by microfiltration with membrane of nominal pore size of 0.4 mu m. The rheological behavior of the mixtures was investigated in rotational viscometers at two different temperatures, 25 and 40 C, at the beginning and at the end of each experiment. The shear stress (t) in function of the shear rate (gamma) was fitted and analyzed with the power-law model. All the mixtures showed flow behavior index values (n) lower than 1, characterizing non-Newtonian fluids (pseudoplastic). The samples of both mixtures and permeates were also analyzed by absorbency spectroscopy in infrared radiation. The absorbency analysis showed that there is good synergism between xanthan and guar gums without structure modifications or gel formation in the concentration process by microfiltration.

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Over the past decades, several sensitive post-electrophoretic stains have been developed for an identification of proteins in general, or for a specific detection of post-translational modifications such as phosphorylation, glycosylation or oxidation. Yet, for a visualization and quantification of protein differences, the differential two-dimensional gel electrophoresis, termed DIGE, has become the method of choice for a detection of differences in two sets of proteomes. The goal of this review is to evaluate the use of the most common non-covalent and covalent staining techniques in 2D electrophoresis gels, in order to obtain maximal information per electrophoresis gel and for an identification of potential biomarkers. We will also discuss the use of detergents during covalent labeling, the identification of oxidative modifications and review influence of detergents on finger prints analysis and MS/MS identification in relation to 2D electrophoresis.

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The choice of sample preparation protocol is a critical influential factor for isoelectric focusing which in turn affects the two-dimensional gel result in terms of quality and protein species distribution. The optimal protocol varies depending on the nature of the sample for analysis and the properties of the constituent protein species (hydrophobicity, tendency to form aggregates, copy number) intended for resolution. This review explains the standard sample buffer constituents and illustrates a series of protocols for processing diverse samples for two-dimensional gel electrophoresis, including hydrophobic membrane proteins. Current methods for concentrating lower abundance proteins, by removal of high abundance proteins, are also outlined. Finally, since protein staining is becoming increasingly incorporated into the sample preparation procedure, we describe the principles and applications of current (and future) pre-electrophoretic labelling methods.

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This special issue aims to cover some problems related to non-linear and nonconventional speech processing. The origin of this volume is in the ISCA Tutorial and Research Workshop on Non-Linear Speech Processing, NOLISP’09, held at the Universitat de Vic (Catalonia, Spain) on June 25–27, 2009. The series of NOLISP workshops started in 2003 has become a biannual event whose aim is to discuss alternative techniques for speech processing that, in a sense, do not fit into mainstream approaches. A selected choice of papers based on the presentations delivered at NOLISP’09 has given rise to this issue of Cognitive Computation.

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When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose.