874 resultados para Chemo- And Multi-enzymatic Processes


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The research work has dealt with the study of new catalytic processes for the synthesis of fine chemicals belonging to the class of phenolics, namely 2-phenoxyethanol and hydroxytyrosol. The two synthetic procedures investigated have the advantages of being much closer to the Green Chemistry principles than those currently used industrially. In both cases, the challenge was that of finding catalysts and methods which led to the production of less waste, and used less hazardous chemicals, safer solvents, and reusable heterogeneous catalysts. In the case of 2-phenoxyethanol, the process investigated involves the use of ethylene carbonate (EC) as the reactant for phenol O-hydroxyethylation, in place of ethylene oxide. Besides being a safer reactant, the major advantage of using EC in the new synthesis is the better selectivity to the desired product achieved. Moreover, the solid catalyst based on Na-mordenite was fully recyclable. The reaction mechanism and the effect of the Si/Al ratio in the mordenite were investigated. In the case of hydroxytyrosol, which is one of the most powerful natural antioxidants, a new synthetic procedure was investigated; in fact, the method currently employed, the hydrolysis of oleuropein, an ester extracted from the waste water processing of the olive, makes use of large amounts of organic solvents (hexane, ethyl acetate), and involves several expensive steps of purification. The synthesis procedure set up involves first the reaction between catechol and 2,2-dimethoxyacetaldehyde, followed by the one-pot reduction of the intermediate to give the desired product. Both steps were optimized, in terms of catalyst used, and of reaction conditions, that allowed to reach ca 70% yield in each step. The reaction mechanism was investigated and elucidated. During a 3-month period spent at the University of Valencia (with Prof. A. Corma’s group), a process for the production of diesel additives (2,5-bis(propoxymethyl)furan) from fructose has been investigated.

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Landslides of the lateral spreading type, involving brittle geological units overlying ductile terrains, are a common occurrence in the sandstone and limestone plateaux of the northern Apennines of Italy. These instability phenomena can become particularly risky, when historical towns and cultural heritage sites built on the top of them are endangered. Neverthless, the mechanisms controlling the developing of related instabilities, i.e. toppling and rock falls, at the edges of rock plateaux are not fully understood yet. In addition, the groundwater flow path developing at the contact between the more permeable units, i.e. the jointed rock slab, and the relatively impermeable clay-rich units have not been already studied in details, even if they may play a role in this kind of instability processes, acting as eventual predisposing and/or triggering factors. Field survey, Terrestrial Laser Scanner and Close Range Photogrammetry techniques, laboratory tests on the involved materials, hydrogeological monitoring and modelling, displacements evaluation and stability analysis through continuum and discontinuum numerical codes have been performed on the San Leo case study, with the aim to bring further insights for the understanding and the assessment of the slope processes taking place in this geological context. The current research permitted to relate the aquifer behaviour of the rocky slab to slope instability processes. The aquifer hosted in the fractured slab leads to the development of perennial and ephemeral springs at the contact between the two units. The related piping erosion phenomena, together with slope processes in the clay-shales led to the progressive undermining of the slab. The cliff becomes progressively unstable due to undermining and undergoes large-scale landslides due to fall or topple.

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Salpetrige Säure (HONO) ist eine wichtige Form von reaktivem Stickstoff, die aufgrund ihrer Photolyse zu Stickstoffmonoxid (NO) und dem Hydroxylradikal (OH), sehr kurzlebig ist. Ein genaues Verständnis der Quellen und Senken von HONO ist eine grundlegende Voraussetzung, um dessen Einfluss auf die Umwelt zu beurteilen. Allerdings wird immer noch nach einer starken HONO-Quelle am Tag gesucht und nächtliche HONO-Deposition auf den Boden wurde bisher stets nur postuliert. Diese Dissertation folgt der Zielsetzung die Prozesse der HONO-Aufnahme und Freisetzung von Böden aufzudecken und die zugrunde liegenden Mechanismen zu verstehen.rnUm die Rolle von HONO-Bodenemissionen zu quantifizieren, wurden 17 Böden in einem dynamischen Kammersystem untersucht. Es konnten HONO-Emissionen derselben Größenordnung wie die bereits gut untersuchten NO-Emissionen festgestellt werden. Unerwarteter Weise wurden die stärksten Emissionen bei Böden mit neutralem pH aus ariden und landwirt¬schaftlichen Gebieten beobachtet. Die Temperaturabhängigkeit der Bodenemissionen von HONO und NO führten zu der Annahme einer mikrobiellen Freisetzung von HONO, welche durch Reinkulturexperimente mit dem ammoniumoxidierenden Bakterium Nitrosomonas europaea bestätigt werden konnte. Ein konzeptionelles Model für die Freisetzung reaktiver Stickstoffverbindungen aus Böden in Abhängigkeit des Bodenwassergehaltes wurde um HONO-Emissionen erweitert.rnDurch Nachweise mittels Reinkultur- und Inhibitionsexperimenten konnten weitere Untersuchungen der bakteriellen Freisetzung von HONO aus Böden zeigen, dass innerhalb der bakteriellen Nitrifikation nur ammoniumoxidierende Bakterien zur Emission von HONO fähig sind. Durch kontrolliert initiierte Zelllyse konnte gezeigt werden, dass intrazellulär akkumuliertes Hydroxylamin (NH2OH) für die HONO-Freisetzung verantwortlich sind. Zum ersten Mal wurde NH2OH in der Gasphase nachgewiesen und dass dieses über den gesamten Bodenfeuchtebereich von ammoniumoxidierenden Bakterien freigesetzt wird. Es wurde gezeigt, dass die heterogene Reaktion von NH2OH mit Wasserdampf auf einer Glasperlenoberfläche HONO bildet. Diese Reaktion erklärt die beobachtete Freisetzung von HONO bei niedrigen Bodenfeuchten, da nur dann die Oberfläche zur Reaktion zur Verfügung steht und nicht von Wasser bedeckt ist.rnEine 15N Isotopenmarkierungsmethode wurde entwickelt um isotopenmarkiertes gasförmiges HONO zu messen, was die Untersuchung der Bildungsprozesse von HONO und dessen Rolle in biogeochemischen Zyklen ermöglicht. Die Anwendung dieser neuen Methode auf eine Bodenprobe die mit 15N Harnstoff angereichert und in einem dynamischen Kammersystem untersucht wurde, bestätigt die obigen Ergebnisse einer starken mikrobiellen Beteiligung von Bodenbakterien zur HONO Freisetzung.rnBidirektionale Flüsse von HONO wurden für sechs untersuchte Bodenproben gefunden. Die Richtung der Flüsse hängt dabei vom Umgebungsmischungsverhältnis von HONO und dem Bodenwassergehalt ab. Eine wichtige Größe, die die bidirektionalen Flüsse von HONO beschreibt, ist das „Ökosystem spezifische Kompensationsmischungsverhältnis von HONO“, χcomp. Dieser neue Begriff wurde definiert und eingeführt, da die verschiedenen in den Bodenaustausch von HONO involvierten Prozesse nicht mit dem klassischen Kompensationspunktkonzept kompatibel sind. Die Untersuchungen bestätigen neueste Feldbeobachtungen, dass HONO, welches bei hohen Umgebungsmischungsverhältnissen vom Boden adsorbiert wird, bei niedrigen Mischungsverhält-nissen wieder vom Boden desorbiert wird. Folglich wird nächtlich akkumuliertes HONO tagsüber in eine Quelle für HONO umgewandelt. Vier Prozesse - Verteilung von HONO zwischen Gas- und Flüssigphase nach Henrys Gesetz, bakterielle HONO Bildung aus NH2OH, Adsorption und Desorption von HONO - und deren Dominanz in speziellen Bodenfeuchtebereichen wurden identifiziert. Dadurch wurde ein konzeptionelles Model für die Prozesse, die in Aufnahme und Freisetzung von HONO aus Böden involviert sind, als Funktion der Bodenfeuchte entwickelt.rnZusammenfassend hat diese Dissertation die entscheidenden Prozesse im Austausch von HONO zwischen Boden und Atmosphäre aufgeklärt und den der bakteriellen HONO Bildung zugrunde liegenden Mechanismus aufgedeckt. Es konnte gezeigt werden, dass Böden sowohl eine wichtige Quelle als auch eine Senke für HONO sind und sollten folglich in zukünftigen Feldmessungen stärker berücksichtigt werden.rn

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Classic group recommender systems focus on providing suggestions for a fixed group of people. Our work tries to give an inside look at design- ing a new recommender system that is capable of making suggestions for a sequence of activities, dividing people in subgroups, in order to boost over- all group satisfaction. However, this idea increases problem complexity in more dimensions and creates great challenge to the algorithm’s performance. To understand the e↵ectiveness, due to the enhanced complexity and pre- cise problem solving, we implemented an experimental system from data collected from a variety of web services concerning the city of Paris. The sys- tem recommends activities to a group of users from two di↵erent approaches: Local Search and Constraint Programming. The general results show that the number of subgroups can significantly influence the Constraint Program- ming Approaches’s computational time and e�cacy. Generally, Local Search can find results much quicker than Constraint Programming. Over a lengthy period of time, Local Search performs better than Constraint Programming, with similar final results.

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Internal combustion engines are, and will continue to be, a primary mode of power generation for ground transportation. Challenges exist in meeting fuel consumption regulations and emission standards while upholding performance, as fuel prices rise, and resource depletion and environmental impacts are of increasing concern. Diesel engines are advantageous due to their inherent efficiency advantage over spark ignition engines; however, their NOx and soot emissions can be difficult to control and reduce due to an inherent tradeoff. Diesel combustion is spray and mixing controlled providing an intrinsic link between spray and emissions, motivating detailed, fundamental studies on spray, vaporization, mixing, and combustion characteristics under engine relevant conditions. An optical combustion vessel facility has been developed at Michigan Technological University for these studies, with detailed tests and analysis being conducted. In this combustion vessel facility a preburn procedure for thermodynamic state generation is used, and validated using chemical kinetics modeling both for the MTU vessel, and institutions comprising the Engine Combustion Network international collaborative research initiative. It is shown that minor species produced are representative of modern diesel engines running exhaust gas recirculation and do not impact the autoignition of n-heptane. Diesel spray testing of a high-pressure (2000 bar) multi-hole injector is undertaken including non-vaporizing, vaporizing, and combusting tests, with sprays characterized using Mie back scatter imaging diagnostics. Liquid phase spray parameter trends agree with literature. Fluctuations in liquid length about a quasi-steady value are quantified, along with plume to plume variations. Hypotheses are developed for their causes including fuel pressure fluctuations, nozzle cavitation, internal injector flow and geometry, chamber temperature gradients, and turbulence. These are explored using a mixing limited vaporization model with an equation of state approach for thermopyhysical properties. This model is also applied to single and multi-component surrogates. Results include the development of the combustion research facility and validated thermodynamic state generation procedure. The developed equation of state approach provides application for improving surrogate fuels, both single and multi-component, in terms of diesel spray liquid length, with knowledge of only critical fuel properties. Experimental studies are coupled with modeling incorporating improved thermodynamic non-ideal gas and fuel

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This paper presents different application scenarios for which the registration of sub-sequence reconstructions or multi-camera reconstructions is essential for successful camera motion estimation and 3D reconstruction from video. The registration is achieved by merging unconnected feature point tracks between the reconstructions. One application is drift removal for sequential camera motion estimation of long sequences. The state-of-the-art in drift removal is to apply a RANSAC approach to find unconnected feature point tracks. In this paper an alternative spectral algorithm for pairwise matching of unconnected feature point tracks is used. It is then shown that the algorithms can be combined and applied to novel scenarios where independent camera motion estimations must be registered into a common global coordinate system. In the first scenario multiple moving cameras, which capture the same scene simultaneously, are registered. A second new scenario occurs in situations where the tracking of feature points during sequential camera motion estimation fails completely, e.g., due to large occluding objects in the foreground, and the unconnected tracks of the independent reconstructions must be merged. In the third scenario image sequences of the same scene, which are captured under different illuminations, are registered. Several experiments with challenging real video sequences demonstrate that the presented techniques work in practice.

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Peatlands are widely exploited archives of paleoenvironmental change. We developed and compared multiple transfer functions to infer peatland depth to the water table (DWT) and pH based on testate amoeba (percentages, or presence/absence), bryophyte presence/absence, and vascular plant presence/absence data from sub-alpine peatlands in the SE Swiss Alps in order to 1) compare the performance of single-proxy vs. multi-proxy models and 2) assess the performance of presence/absence models. Bootstrapping cross-validation showing the best performing single-proxy transfer functions for both DWT and pH were those based on bryophytes. The best performing transfer functions overall for DWT were those based on combined testate amoebae percentages, bryophytes and vascular plants; and, for pH, those based on testate amoebae and bryophytes. The comparison of DWT and pH inferred from testate amoeba percentages and presence/absence data showed similar general patterns but differences in the magnitude and timing of some shifts. These results show new directions for paleoenvironmental research, 1) suggesting that it is possible to build good-performing transfer functions using presence/absence data, although with some loss of accuracy, and 2) supporting the idea that multi-proxy inference models may improve paleoecological reconstruction. The performance of multi-proxy and single-proxy transfer functions should be further compared in paleoecological data.

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In process industries, make-and-pack production is used to produce food and beverages, chemicals, and metal products, among others. This type of production process allows the fabrication of a wide range of products in relatively small amounts using the same equipment. In this article, we consider a real-world production process (cf. Honkomp et al. 2000. The curse of reality – why process scheduling optimization problems are diffcult in practice. Computers & Chemical Engineering, 24, 323–328.) comprising sequence-dependent changeover times, multipurpose storage units with limited capacities, quarantine times, batch splitting, partial equipment connectivity, and transfer times. The planning problem consists of computing a production schedule such that a given demand of packed products is fulfilled, all technological constraints are satisfied, and the production makespan is minimised. None of the models in the literature covers all of the technological constraints that occur in such make-and-pack production processes. To close this gap, we develop an efficient mixed-integer linear programming model that is based on a continuous time domain and general-precedence variables. We propose novel types of symmetry-breaking constraints and a preprocessing procedure to improve the model performance. In an experimental analysis, we show that small- and moderate-sized instances can be solved to optimality within short CPU times.