2 resultados para Pollutant dispersions

em Academic Archive On-line (Stockholm University


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A microorganism was isolated which could grow on unusually high concentrations of the toxic pollutant 4-chlorophenol. Taxonomic studies showed that the microorganism constituted a novel species within the genus Arthrobacter and it was named Arthrobacter chlorophenolicus A6. A. chlorophenolicus A6 was chromosomally tagged with either the gfp gene, encoding the green fluorescent protein (GFP), or the luc gene, encoding firefly luciferase. When the tagged cells were inoculated into 4-chlorophenol contaminated soil they could completely remove 175 µg/g 4-chlorophenol within 10 days, whereas no loss of 4-chlorophenol was observed in the uninoculated control microcosms. During these experiments the gfp and luc marker genes allowed monitoring of cell number and metabolic status. When A. chlorophenolicus A6 was grown on mixtures of phenolic compounds, the strain exhibited a preference for 4-nitrophenol over 4-chlorophenol, which in turn was preferred over phenol. Analysis of growth and degradation data indicated that the same enzyme system was used for removal of 4-chlorophenol and 4-nitrophenol. However, degradation of unbstituted phenol appeared to be mediated by another or an additional enzyme system. The luc-tagged A. chlorophenolicus A6 gave valuable information about growth, substrate depletion and toxicity of the phenolic compounds in substrate mixtures. The 4-chlorophenol degradation pathway in A. chlorophenolicus A6 was elucidated. The metabolic intermediate subject to ring cleavage was found to be hydroxyquinol and two different pathway branches led from 4-chlorophenol to hydroxyquinol. A gene cluster involved in 4-chlorophenol degradation was cloned from A. chlorophenolicus A6. The cluster contained two functional hydroxyquinol 1,2-dioxygenase genes and a number of other open reading frames presumed to encode enzymes involved in 4-chlorophenol catabolism. Analysis of the DNA sequence suggested that the gene cluster had partly been assembled by horizontal gene transfer. In summary, 4-chlorophenol degradation by A. chlorophenolicus A6 was studied from a number of angles. This organism has several interesting and useful traits such as the ability to degrade high concentrations of 4-chlorophenol and other phenols alone and in mixtures, an unusual and effective 4-chlorophenol degradation pathway and demonstrated ability to remove 4-chlorophenol from contaminated soil.

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Self-assembly of nanoparticles is a promising route to form complex, nanostructured materials with functional properties. Nanoparticle assemblies characterized by a crystallographic alignment of the nanoparticles on the atomic scale, i.e. mesocrystals, are commonly found in nature with outstanding functional and mechanical properties. This thesis aims to investigate and understand the formation mechanisms of mesocrystals formed by self-assembling iron oxide nanocubes. We have used the thermal decomposition method to synthesize monodisperse, oleate-capped iron oxide nanocubes with average edge lengths between 7 nm and 12 nm and studied the evaporation-induced self-assembly in dilute toluene-based nanocube dispersions. The influence of packing constraints on the alignment of the nanocubes in nanofluidic containers has been investigated with small and wide angle X-ray scattering (SAXS and WAXS, respectively). We found that the nanocubes preferentially orient one of their {100} faces with the confining channel wall and display mesocrystalline alignment irrespective of the channel widths.  We manipulated the solvent evaporation rate of drop-cast dispersions on fluorosilane-functionalized silica substrates in a custom-designed cell. The growth stages of the assembly process were investigated using light microscopy and quartz crystal microbalance with dissipation monitoring (QCM-D). We found that particle transport phenomena, e.g. the coffee ring effect and Marangoni flow, result in complex-shaped arrays near the three-phase contact line of a drying colloidal drop when the nitrogen flow rate is high. Diffusion-driven nanoparticle assembly into large mesocrystals with a well-defined morphology dominates at much lower nitrogen flow rates. Analysis of the time-resolved video microscopy data was used to quantify the mesocrystal growth and establish a particle diffusion-based, three-dimensional growth model. The dissipation obtained from the QCM-D signal reached its maximum value when the microscopy-observed lateral growth of the mesocrystals ceased, which we address to the fluid-like behavior of the mesocrystals and their weak binding to the substrate. Analysis of electron microscopy images and diffraction patterns showed that the formed arrays display significant nanoparticle ordering, regardless of the distinctive formation process.  We followed the two-stage formation mechanism of mesocrystals in levitating colloidal drops with real-time SAXS. Modelling of the SAXS data with the square-well potential together with calculations of van der Waals interactions suggests that the nanocubes initially form disordered clusters, which quickly transform into an ordered phase.