9 resultados para WORK METHODS

em ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha


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Einer der Hauptschwerpunkte der Arbeit lag in der Entwicklung einer spezies-spezifischen und einer spezies-unspezifischen GC-ICP-Q-MSIVA von Schwefelspezies in Petroprodukten. Es wurden hierzu Indikatoren, ausgehend von elementarem 34S-angereichertem Schwefel, im Mikromaßstab synthetisiert. Für die spezies-spezifische GC-ICP-Q-MSIVA wurde die erstmalige Synthese von 34S-markiertem Thiophen, Dibenzothiophen und 4-Methyldibenzothiophen verwirklicht. Als Indikatorsynthese für die spezies-unspezifische GC-ICP-Q-MSIVA erfolgte die erstmalige Darstellung von 34S-angereichertem Dimethyldisulid. Mit Hilfe der synthetisierten Verbindungen wurden spezies-spezifische und spezies-unspezifische massenspektrometrische Isotopenverdünnungsanalysen von Schwefelspezies in Petroprodukten durchgeführt. Vor allen GC-ICP-Q-MSIVA-Analysen erfolgte eine umfangreiche Speziesidentifizierung durch Aufstockexperimente mit kommerziell erhältlichen Standards und mit einem mit der GC gekoppelten Elektronenstoß (EI)-MS. Beide ICP-Q-MS Methoden zeichnen sich durch sehr niedrige Nachweisgrenzen (7 ng S/g) aus, welche auch eine Anwendbarkeit auf tiefentschwefelte Kraftstoffe garantieren. Mit der spezies-unspezifischen GC-ICP-Q-MSIVA ist neben einer Speziesanalyse auch eine Gesamtschwefelanalyse durch Aufsummierung aller in der Probe vorhandenen Spezies möglich. Es wurde im Rahmen dieser Arbeit auch der Einfluss möglicher Empfindlichkeitsänderungen des ICP-Q-MS durch koeluierende Kohlenwasserstoffe überprüft, wobei diese erwartungsgemäß auf das Ergebnis der spezies-spezifischen und spezies-unspezifischen GC-ICP-Q-MSIVA keinerlei Einfluss haben. Der zweite Hauptschwerpunkt der Arbeit lag auf der Ausarbeitung routinefähiger, schneller und zuverlässiger Methoden zur Gesamtelementspurenanalytik von Schwefel und Schwermetallen in Erdölen und Petroprodukten. Für die Gesamtschwefelanalyse wurde eine MSIVA nach thermaler Verdampfung mit 34S-markierten Dibenzothiophen als Indikator entwickelt. Die neu entwickelte Methode erlaubt eine sehr schnelle Bestimmung des Gesamtschwefelgehalts, wobei die eigentliche Messung des Isotopenverhältnisses innerhalb von Sekunden nach der Injektion der Probe erfolgt. Weiterhin zeichnet sich die Methode durch Robustheit und eine niedrige Nachweisgrenze (40 ng S/g) aus. Für die Analyse von Schwermetallen wurden erstmals Möglichkeiten einer direkten MSIVA von Erdölproben ohne zeitraubenden, kontaminationsträchtigen Aufschluss bzw. die schwierige Erzeugung einer Mikroemulsion zwischen hydrophober Probe und wässrigem Indikator entwickelt. Um eine homogene Verteilung des Indikators in der hydrophoben Probe zu ermöglichen, musste ausgehend von den zur Verfügung stehenden wässrigen Indikatorlösungen, eine Überführung des Indikators in ein organisches Lösungsmittel erfolgen. Hierzu wurde der jeweilige Metallindikator unter Komplexierung aus wässrigen Metallindikatorlösungen extrahiert. Für die Analyse der mit diesen Indikatorlösungen in organischer Phase versetzten Proben wurden zwei alternative Methoden ausgearbeitet. Bei der mit der Laserablation (LA) kombinierten ICP-SF-MSIVA wird die isotopenverdünnte Probe aus einer eigens für diesen Zweck entwickelten Probenhalterung ablatiert und so dem ICP-SF-MS zugeführt wird. Bei zeitlich sich verändernden Intensitäten der gemessenen Isotope werden aber reproduzierbare und konstante Isotopenverhältnisse erhalten. Im Falle einer homogenen Verteilung der Metallspuren wurde eine hervorragende Übereinstimmung mit Vergleichsmethoden und einem Referenzmaterial festgestellt. Im Falle einer heterogenen partikulären Verteilung der Metallspuren, wie sie z.B. bei Eisenspuren in den Erdölen vorlag, ist die Anwendbarkeit der LA-ICP-SF-MSIVA aufgrund des kleinen Probenvolumens (20 µL) jedoch begrenzt. Als Alternative zur LA-ICP-SF-MSIVA wurde ein System unter Verwendung der Fließinjektion für die Zuführung der isotopenverdünnten Probe zum ICP-SF-MS ausgearbeitet. Die isotopenverdünnte Probe wird hierbei in einen Eluentenstrom von Toluol injiziert und mit Hilfe einer Total-Consumption-Zerstäuber/Sprühkammer-Einheit vollständig bei einer Flussrate von 10 µL/min in das Plasma eingebracht. Neben einer nochmaligen Verkürzung der Analysenzeit und Vereinfachung der Probenvorbereitung bietet diese Methode zusätzlich stark verbesserte Nachweisgrenzen (z.B. Ni 0,9 ng/g). Leider sind mit diesem Verfahren bis jetzt nur Ni und Mo zuverlässig bestimmbar. Das in dieser Arbeit ausgearbeitete Methodenpaket erlaubt erstmals eine breite Einführung der ICP-MSIVA als zuverlässige Methode in die Routineanalytik der Petroindustrie. Durch die bewiesene Zuverlässigkeit, den geringen Zeitaufwand und die Robustheit der Methoden steht ihrem routinemäßigen Einsatz, außer einer weitergehenderen Automatisierung einzelner Verfahrensteile, prinzipiell nichts entgegen.

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The topic of this thesis is the investigation of structure,order and dynamics in discotic mesogens by advancedsolid-state NMR spectroscopy. Most of the discotic mesogensunder investigation are hexa-peri-hexabenzocoronene (HBC)derivatives which are of particular interest for potentialdevice applications due to their high one-dimensional chargecarrier mobilities. The supramolecular stacking arrangement of the discoticcores was investigated by 2D 1H-1H double-quantum (DQ)methods, which were modified by incorporating the WATERGATEsuppression technique into the experiments in order toovercome severe phase problems arising from the strongsignal of the long alkyl sidechains. Molecular dynamics and sample orientation was probed throughthe generation of sideband patterns by reconversion rotorencoding in 2D recoupling experiments. These experimentswere extended by new recoupling schemes to enable thedistinction of motion and orientation effects. The solid-state NMR studies presented in this work aim tothe understanding of structure-property relationships in theinvestigated discotic materials, while the experimentsapplied to these materials include new recoupling schemeswhich make the desired information on molecular orientationand dynamics accessible without isotope labelling.

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In this work, solid-state NMR methods suitable for the investigation of supramolecular systems were developed and improved. In this context, special interest was focussed on non-covalent interactions responsible for the formation of supramolecular structures, such as pi-pi interacions and hydrogen-bonds. In the first part of this work, solid-state NMR methods were presented that provide information on molecular structure and motion via the investigation of anisotropic interactions, namely quadrupole and dipole-dipole couplings, under magic-angle spinning conditions. A two-dimensional 2H double quantum experiment was developed, which is performed under off magic-angle conditions and correlates 2H isotropic chemical shifts with quasistatic DQ-filtered line shapes. From the latter, the quadrupole coupling parameters of samples deuterated at multiple sites can be extracted in a site-selective fashion. Furthermore, 7Li quadrupole parameters of lithium intercalated into TiO2 were determined by NMR experiments performed under static and MAS conditions, and could provide information on the crystal geometry. For the determination of 7Li-7Li dipole-dipole couplings, multiple-quantum NMR experiments were performed. The 1H-13C REREDOR experiment was found to be capable of determining strong proton-carbon dipole-dipole couplings with an accuracy of 500~Hz, corresponding to a determination of proton-carbon chemical-bond lengths with picometer accuracy In the second part of this work, solid-state NMR experiments were combined with quantum-chemical calculations in order to aid and optimise the interpretation of experimental results. The investigations on Calix[4]hydroquinone nanotubes have shown that this combined approach can provide information on the presence of disordered and/or mobile species in supramolecular structures. As a second example, C3-symmetric discs arranging in helical columnar stacks were investigated. In these systems, 1H chemical shifts experience large pi-shifts due to packing effects, which were found to be long-ranged. Moreover, quantum-chemical calculations revealed that helicity in these systems is induced by the propeller-like conformation of the core of the molecules.

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In this work we develop and analyze an adaptive numerical scheme for simulating a class of macroscopic semiconductor models. At first the numerical modelling of semiconductors is reviewed in order to classify the Energy-Transport models for semiconductors that are later simulated in 2D. In this class of models the flow of charged particles, that are negatively charged electrons and so-called holes, which are quasi-particles of positive charge, as well as their energy distributions are described by a coupled system of nonlinear partial differential equations. A considerable difficulty in simulating these convection-dominated equations is posed by the nonlinear coupling as well as due to the fact that the local phenomena such as "hot electron effects" are only partially assessable through the given data. The primary variables that are used in the simulations are the particle density and the particle energy density. The user of these simulations is mostly interested in the current flow through parts of the domain boundary - the contacts. The numerical method considered here utilizes mixed finite-elements as trial functions for the discrete solution. The continuous discretization of the normal fluxes is the most important property of this discretization from the users perspective. It will be proven that under certain assumptions on the triangulation the particle density remains positive in the iterative solution algorithm. Connected to this result an a priori error estimate for the discrete solution of linear convection-diffusion equations is derived. The local charge transport phenomena will be resolved by an adaptive algorithm, which is based on a posteriori error estimators. At that stage a comparison of different estimations is performed. Additionally a method to effectively estimate the error in local quantities derived from the solution, so-called "functional outputs", is developed by transferring the dual weighted residual method to mixed finite elements. For a model problem we present how this method can deliver promising results even when standard error estimator fail completely to reduce the error in an iterative mesh refinement process.

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For the safety assessment of radioactive waste, the possibility of radionuclide migration has to be considered. Since Np (and also Th due to the long-lived 232-Th) will be responsible for the greatest amount of radioactivity one million years after discharge from the reactor, its (im)-mobilization in the geosphere is of great importance. Furthermore, the chemistry of Np(V) is quite similar (but not identical) to the chemistry of Pu(V). Three species of neptunium may be found in the near field of the waste disposal, but pentavalent neptunium is the most abundant species under a wide range of natural conditions. Within this work, the interaction of Np(V) with the clay mineral montmorillonite and melanodins (as model substances for humic acids) was studied. The sorption of neptunium onto gibbsite, a model clay for montmorillonite, was also investigated. The sorption of neptunium onto γ-alumina and montmorillonite was studied in a parallel doctoral work by S. Dierking. Neptunium is only found in ultra trace amounts in the environment. Therefore, sensitive and specific methods are needed for its determination. The sorption was determined by γ spectroscopy and LSC for the whole concentration range studied. In addition the combination of these techniques with ultrafiltration allowed the study of Np(V) complexation with melanoidins. Regrettably, the available speciation methods (e.g. CE-ICP-MS and EXAFS) are not capable to detect the environmentally relevant neptunium concentrations. Therefore, a combination of batch experiments and speciation analyses was performed. Further, the preparation of hybrid clay-based materials (HCM) montmorillonitemelanoidins for sorption studies was achieved. The formation of hybrid materials begins in the interlayers of the montmorillonite, and then the organic material spreads over the surface of the mineral. The sorption of Np onto HCM was studied at the environmentally relevant concentrations and the results obtained were compared with those predicted by the linear additive model by Samadfam. The sorption of neptunium onto gibbsite was studied in batch experiments and the sorption maximum determined at pH~8.5. The sorption isotherm pointed to the presence of strong and weak sorption sites in gibbsite. The Np speciation was studied by using EXAFS, which showed that the sorbed species was Np(V). The influence of M42 type melanodins on the sorption of Np(V) onto montmorillonite was also investigated at pH 7. The sorption of the melanoidins was affected by the order in which the components were added and by ionic strength. The sorption of Np was affected by ionic strength, pointing to outer sphere sorption, whereas the presence of increasing amounts of melanoidins had little influence on Np sorption.

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For the detection of hidden objects by low-frequency electromagnetic imaging the Linear Sampling Method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfills the assumptions for the fully justified variant of the Linear Sampling Method, the so-called Factorization Method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can be expected for the case of conducting objects and layered backgrounds.

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This work deals with the car sequencing (CS) problem, a combinatorial optimization problem for sequencing mixed-model assembly lines. The aim is to find a production sequence for different variants of a common base product, such that work overload of the respective line operators is avoided or minimized. The variants are distinguished by certain options (e.g., sun roof yes/no) and, therefore, require different processing times at the stations of the line. CS introduces a so-called sequencing rule H:N for each option, which restricts the occurrence of this option to at most H in any N consecutive variants. It seeks for a sequence that leads to no or a minimum number of sequencing rule violations. In this work, CS’ suitability for workload-oriented sequencing is analyzed. Therefore, its solution quality is compared in experiments to the related mixed-model sequencing problem. A new sequencing rule generation approach as well as a new lower bound for the problem are presented. Different exact and heuristic solution methods for CS are developed and their efficiency is shown in experiments. Furthermore, CS is adjusted and applied to a resequencing problem with pull-off tables.

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Small molecules affecting biological processes in plants are widely used in agricultural practice as herbicides or plant growth regulators and in basic plant sciences as probes to study the physiology of plants. Most of the compounds were identified in large screens by the agrochemical industry, as phytoactive natural products and more recently, novel phytoactive compounds originated from academic research by chemical screens performed to induce specific phenotypes of interest. The aim of the present PhD thesis is to evaluate different approaches used for the identification of the primary mode of action (MoA) of a phytoactive compound. Based on the methodologies used for MoA identification, three approaches are discerned: a phenotyping approach, an approach based on a genetic screen and a biochemical screening approach.rnFour scientific publications resulting from my work are presented as examples of how a phenotyping approach can successfully be applied to describe the plant MoA of different compounds in detail.rnI. A subgroup of cyanoacrylates has been discovered as plant growth inhibitors. A set of bioassays indicated a specific effect on cell division. Cytological investigations of the cell division process in plant cell cultures, studies of microtubule assembly with green fluorescent protein marker lines in vivo and cross resistant studies with Eleusine indica plants harbouring a mutation in alpha-tubulin, led to the description of alpha-tubulin as a target site of cyanoacrylates (Tresch et al., 2005).rnII. The MoA of the herbicide flamprop-m-methyl was not known so far. The studies described in Tresch et al. (2008) indicate a primary effect on cell division. Detailed studies unravelled a specific effect on mitotic microtubule figures, causing a block in cell division. In contrast to other inhibitors of microtubule rearrangement such as dinitroanilines, flamprop-m-methyl did not influence microtubule assembly in vitro. An influence of flamprop-m-methyl on a target within the cytoskeleton signalling network could be proposed (Tresch et al., 2008).rnIII. The herbicide endothall is a protein phosphatase inhibitor structurally related to the natural product cantharidin. Bioassay studies indicated a dominant effect on dark-growing cells that was unrelated to effects observed in the light. Cytological characterisation of the microtubule cytoskeleton in corn tissue and heterotrophic tobacco cells showed a specific effect of endothall on mitotic spindle formation and ultrastructure of the nucleus in combination with a decrease of the proliferation index. The observed effects are similar to those of other protein phosphatase inhibitors such as cantharidin and the structurally different okadaic acid. Additionally, the observed effects show similarities to knock-out lines of the TON1 pathway, a protein phosphatase-regulated signalling pathway. The data presented in Tresch et al. (2011) associate endothall’s known in vitro inhibition of protein phosphatases with in vivo-effects and suggest an interaction between endothall and the TON1 pathway.rnIV. Mefluidide as a plant growth regulator induces growth retardation and a specific phenotype indicating an inhibition of fatty acid biosynthesis. A test of the cuticle functionality suggested a defect in the biosynthesis of very-long-chain fatty acids (VLCFA) or waxes. Metabolic profiling studies showed similarities with different groups of VLCFA synthesis inhibitors. Detailed analyses of VLCFA composition in tissues of duckweed (Lemna paucicostata) indicated a specific inhibition of the known herbicide target 3 ketoacyl-CoA synthase (KCS). Inhibitor studies using a yeast expression system established for plant KCS proteins verified the potency of mefluidide as an inhibitor of plant KCS enzymes. It could be shown that the strength of inhibition varied for different KCS homologues. The Arabidopsis Cer6 protein, which induces a plant growth phenotype similar to mefluidide when knocked out, was one of the most sensitive KCS enzymes (Tresch et al., 2012).rnThe findings of my own work were combined with other publications reporting a successful identification of the MoA and primary target proteins of different compounds or compound classes.rnA revised three-tier approach for the MoA identification of phytoactive compounds is proposed. The approach consists of a 1st level aiming to address compound stability, uniformity of effects in different species, general cytotoxicity and the effect on common processes like transcription and translation. Based on these findings advanced studies can be defined to start the 2nd level of MoA characterisation, either with further phenotypic characterisation, starting a genetic screen or establishing a biochemical screen. At the 3rd level, enzyme assays or protein affinity studies should show the activity of the compound on the hypothesized target and should associate the in vitro effects with the in vivo profile of the compound.

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The goal of this thesis is the acceleration of numerical calculations of QCD observables, both at leading order and next–to–leading order in the coupling constant. In particular, the optimization of helicity and spin summation in the context of VEGAS Monte Carlo algorithms is investigated. In the literature, two such methods are mentioned but without detailed analyses. Only one of these methods can be used at next–to–leading order. This work presents a total of five different methods that replace the helicity sums with a Monte Carlo integration. This integration can be combined with the existing phase space integral, in the hope that this causes less overhead than the complete summation. For three of these methods, an extension to existing subtraction terms is developed which is required to enable next–to–leading order calculations. All methods are analyzed with respect to efficiency, accuracy, and ease of implementation before they are compared with each other. In this process, one method shows clear advantages in relation to all others.