Pathways of the Photocatalytic Reaction of Acetate in H2O and D2O Combined: An EPR and ATR-FTIR Study

The adsorption and photocatalytic degradation of acetate on TiO2 surfaces was investigated in H2O and D2O by ATR-FTIR and EPR Spectroscopy respectively. These studies were carried out in the dark and under UV(A) illumination to gain additional insights into the adsorption behaviour with the identification of paramagnetic species formed during the oxidation of acetate. Isotopic exchange during the adsorption of D2O on TiO2 surface led to different interactions between the adsorbate and OD groups. At different pH levels, several surface complexes of acetate can be formed such as monodentate, or bidentates. Under UV(A) irradiation of TiO2 aqueous suspensions, the formation of hydroxyl and methoxy radicals evidenced as the corresponding spin-adducts, were found to dominate in alkaline and acidic suspensions respectively. Two possible pathways for the oxidation of acetate have been suggested at different pH levels in solution in terms of the source of the spin adduct formed. These proposed pathways were found to be in good agreement with ATR-FTIR and EPR results.

Synergistischer photoinduzierter Schadstoffabbau mittels eines Porphyrazin-Titandioxid-Hybrids

Die zunehmende Luftverschmutzung aufgrund des steigenden Energiebedarfs und Mobilitätsanspruchs der Bevölkerung, insbesondere in urbanen Gebieten, erhöht das Gefährdungspotential für die Gesundheit und verschlechtert so die Lebensqualität. Neben der Vermeidung von Emissionen toxischer Gase als mittel- und langfristig optimale Maßnahme zur Verbesserung der Luftqualität, stellt der Abbau emittierter Luftschadstoffe ein geeignetes und kurzfristig wirksames Mittel dar. Ein solcher Abbau kann durch Photokatalyse erzielt werden, allerdings nutzen Photokatalysatoren, die auf dem Halbleiter Titandioxid (TiO2) basieren, das solare Emissionsspektrum nur geringfüfig aus und sind in Innenräumen und anderen UV-schwachen Bereichen nicht wirksam. Um diese Nachteile zu überwinden, wurde ein Photokatalysator entwickelt und hergestellt, der aus TiO2 (P25) als UV-aktiver Photokatalysator und als Trägermaterial sowie einem seinerseits im Vis-Bereich photoaktiven Porphyrazin-Farbstoff als Beschichtung besteht. Die sterisch anspruchsvollen und in der Peripherie mit acht Bindungsmotiven für TiO2 versehenen Farbstoffmoleküle wurden zu diesem Zweck auf der Halbleiteroberfläche immobilisiert. Die so gebildeten Porphyrazin-Titandioxid-Hybride wurde ausführlich charakterisiert. Dabei wurden unter anderem die Bindung der Farbstoffe auf der Titandioxidoberfläche mittels Adsorptionsisothermen und die UV/Vis-spektroskopischen Eigenschaften des Hybridmaterials untersucht. Zur Bestimmung der photokatalytischen Aktivitäten der Einzelkomponenten und des Hybridmaterials wurden diese auf die Fähigkeit zur Bildung von Singulett-Sauerstoff, Wasserstoffperoxid und Hydroxylradikalen hin sowie in einem an die ISO-22197-1 angelehnten Verfahren auf die Fähigkeit zum Abbau von NO hin jeweils bei Bestrahlung in drei Wellenlängenbereichen (UV-Strahlung, blaues Licht und rotes Licht) geprüft. Darüber hinaus konnte die Aktivität des Hybridmaterials bei der Photodynamischen Inaktivierung (PDI) von Bakterien unter UV- und Rotlichtbestrahlung im Vergleich zum reinen Ttandioxid bestimmt werden. Die Charakterisierung des Hybridmaterials ergab, dass die Farbstoffmoleküle in einer neutralen Suspension nahezu irreversibel in einer monomolekularen Schicht mit einer Bindungsenergie von -41.43 kJ/mol an die Oberfläche gebunden sind und das Hybridmaterial mit hohen Extinktionskoeffizienten von bis zu 105 M-1cm-1 in großen Bereichen des UV/Vis-Spektrums Photonen absorbiert. Das Spektrum des Hybridmaterials setzt sich dabei additiv aus den beiden Einzelspektren zusammen. Die Auswirkungen der Charakterisierungsergebnisse auf die Bildung reaktiver Sauerstoffspezies wurden ausführlich diskutiert. Der Vergleich der Aktivitäten in Bezug auf die Bildung der reaktiven Sauerstoffspezies zeigte, dass die Aktivität des Hybridmaterials bis auf die bei der Bildung von Hydroxylradikalen unter UV-Bestrahlung in allen Versuchen deutlich höher war als die Aktivität des reinen Titandioxids. Im Gegensatz zu reinem Titandioxid erzeugte das Hybridmaterial in allen untersuchten Wellenlängenbereichen Mengen an Singulett-Sauerstoff, die photophysikalisch eindeutig detektierbar waren. Zur Erklärung und Deutung dieser Beobachtungen wurde eine differenzierte Diskussion geführt, die die Ergebnisse der Hybridpartikelcharakterisierung aufgreift und implementiert. Der Vergleich der NO-Abbaueffizienzen ergab bei allen Experimenten durchgängig deutlich höhere Werte für das Hybridmaterial. Zudem wurden durch das Hybridmaterial nachgewiesenermaßen wesentlich geringere Mengen des unerwünschten Nebenprodukts des Abbaus (NO2) gebildet. Im Zuge der Diskussion wurden verschiedene mögliche Mechanismen der „sauberen“ Oxidation zu Nitrat durch das Hybridmaterial vorgestellt. Untersuchungen zur Photodynamischen Inaktivierung verschiedener Bakterien ergaben, dass das Hybridmaterial neben einer zu P25 ähnlichen Aktivität unter UV-Bestrahlung, anders als P25, auch eine PDI verschiedener Bakterien unter Rotlichtbestrahlung erreicht.

Catalytic decomposition of formic acid using supported metal nanoparticles

Upgrade of hydrogen to valuable fuel is a central topic in modern research due to its high availability and low price. For the difficulties in hydrogen storage, different pathways are still under investigation. A promising way is in the liquid-phase chemical hydrogen storage materials, because they can lead to greener transformation processes with the on line development of hydrogen for fuel cells. The aim of my work was the optimization of catalysts for the decomposition of formic acid made by sol immobilisation method (a typical colloidal method). Formic acid was selected because of the following features: it is a versatile renewable reagent for green synthesis studies. The first aim of my research was the synthesis and optimisation of Pd nanoparticles by sol-immobilisation to achieve better catalytic performances and investigate the effect of particle size, oxidation state, role of stabiliser and nature of the support. Palladium was chosen because it is a well-known active metal for the catalytic decomposition of formic acid. Noble metal nanoparticles of palladium were immobilized on carbon charcoal and on titania. In the second part the catalytic performance of the “homemade” catalyst Pd/C to a commercial Pd/C and the effect of different monometallic and bimetallic systems (AuxPdy) in the catalytic formic acid decomposition was investigated. The training period for the production of this work was carried out at the University of Cardiff (Group of Dr. N. Dimitratos).

Study of Co-based hydrotalcite-derived mixed metal oxides partially modified with silver as potential catalysts for N2O decomposition

Co-Al-Ox mixed metal oxides partially modified with Cu or Mg, as well as Ag were successfully prepared, characterized and evaluated as potential catalysts for the N2O decomposition. The materials were characterized by the following techniques: X-Ray Diffraction, Thermogravimetric Analysis (TGA), N2 Physisorption, Hydrogen Temperature-Programmed Reduction (H2-TPR), and X-ray photoelectron spectroscopy (XPS). Ag-modified HT-derived mixed oxides showed enhanced activity compared to the undoped materials, the optimum composition was found for (1 wt.% Ag)CHT-Co3Al. The catalyst characterization studies suggested that the improved catalytic activity of Ag-promoted catalysts were mainly because of the altered redox properties of the materials.

Domain decomposition methods for some aerodynamic noise problems

Abstract not available

A domain decomposition based algorithm for non-linear 2D inverse heat conduction problems

Inverse heat conduction problems (IHCPs) appear in many important scientific and technological fields. Hence analysis, design, implementation and testing of inverse algorithms are also of great scientific and technological interest. The numerical simulation of 2-D and –D inverse (or even direct) problems involves a considerable amount of computation. Therefore, the investigation and exploitation of parallel properties of such algorithms are equally becoming very important. Domain decomposition (DD) methods are widely used to solve large scale engineering problems and to exploit their inherent ability for the solution of such problems.

Time domain decomposition for European options in financial modelling

Finance is one of the fastest growing areas in modern applied mathematics with real world applications. The interest of this branch of applied mathematics is best described by an example involving shares. Shareholders of a company receive dividends which come from the profit made by the company. The proceeds of the company, once it is taken over or wound up, will also be distributed to shareholders. Therefore shares have a value that reflects the views of investors about the likely dividend payments and capital growth of the company. Obviously such value will be quantified by the share price on stock exchanges. Therefore financial modelling serves to understand the correlations between asset and movements of buy/sell in order to reduce risk. Such activities depend on financial analysis tools being available to the trader with which he can make rapid and systematic evaluation of buy/sell contracts. There are other financial activities and it is not an intention of this paper to discuss all of these activities. The main concern of this paper is to propose a parallel algorithm for the numerical solution of an European option. This paper is organised as follows. First, a brief introduction is given of a simple mathematical model for European options and possible numerical schemes of solving such mathematical model. Second, Laplace transform is applied to the mathematical model which leads to a set of parametric equations where solutions of different parametric equations may be found concurrently. Numerical inverse Laplace transform is done by means of an inversion algorithm developed by Stehfast. The scalability of the algorithm in a distributed environment is demonstrated. Third, a performance analysis of the present algorithm is compared with a spatial domain decomposition developed particularly for time-dependent heat equation. Finally, a number of issues are discussed and future work suggested.

Development of a domain decomposition method for computational aeroacoustics

Abstract not available

Decomposition, recomposition, speculation: The contribution of the Treatise of Choisy for the architectural survey, a pedagogical approach

info:eu-repo/semantics/inPress

Scalable unstructured mesh decomposition

As the efficiency of parallel software increases it is becoming common to measure near linear speedup for many applications. For a problem size N on P processors then with software running at O(N=P ) the performance restrictions due to file i/o systems and mesh decomposition running at O(N) become increasingly apparent especially for large P . For distributed memory parallel systems an additional limit to scalability results from the finite memory size available for i/o scatter/gather operations. Simple strategies developed to address the scalability of scatter/gather operations for unstructured mesh based applications have been extended to provide scalable mesh decomposition through the development of a parallel graph partitioning code, JOSTLE [8]. The focus of this work is directed towards the development of generic strategies that can be incorporated into the Computer Aided Parallelisation Tools (CAPTools) project.

The effect of ionic Co presence on the structural, optical and photocatalytic properties of modified cobalt–titanate nanotubes

With the aim of producing materials with enhanced optical and photocatalytic properties, titanate nanotubes (TNTs) modified by cobalt doping (Co-TNT) and by Na+ -> Co ion-exchange (TNT/Co) were successfully prepared by a hydrothermal method. The influence of the doping level and of the cobalt position in the TNT crystalline structure was studied. Although no perceptible influence of the cobalt ion position on the morphology of the prepared titanate nanotubes was observed, the optical behaviour of the cobalt modified samples is clearly dependent on the cobalt ions either substituting the Ti4+ ions in the TiO6 octahedra building blocks of the TNT structure (doped samples) or replacing the Na+ ions between the TiO6 interlayers (ion-exchange samples). The catalytic ability of these materials on pollutant photodegradation was investigated. First, the evaluation of hydroxyl radical formation using the terephthalic acid as a probe was performed. Afterwards, phenol, naphthol yellow S and brilliant green were used as model pollutants. Anticipating real world situations, photocatalytic experiments were performed using solutions combining these pollutants. The results show that the Co modified TNT materials (Co-TNT and TNT/Co) are good catalysts, the photocatalytic performance being dependent on the Co/Ti ratio and on the structural metal location. The Co(1%)-TNT doped sample was the best photocatalyst for all the degradation processes studied.