930 resultados para Chemistry Techniques, Analytical.
Resumo:
Aerosol particles are strongly related to climate, air quality, visibility and human health issues. They contribute the largest uncertainty in the assessment of the Earth´s radiative budget, directly by scattering or absorbing solar radiation or indirectly by nucleating cloud droplets. The influence of aerosol particles on cloud related climatic effects essentially depends upon their number concentration, size and chemical composition. A major part of submicron aerosol consists of secondary organic aerosol (SOA) that is formed in the atmosphere by the oxidation of volatile organic compounds. SOA can comprise a highly diverse spectrum of compounds that undergo continuous chemical transformations in the atmosphere.rnThe aim of this work was to obtain insights into the complexity of ambient SOA by the application of advanced mass spectrometric techniques. Therefore, an atmospheric pressure chemical ionization ion trap mass spectrometer (APCI-IT-MS) was applied in the field, facilitating the measurement of ions of the intact molecular organic species. Furthermore, the high measurement frequency provided insights into SOA composition and chemical transformation processes on a high temporal resolution. Within different comprehensive field campaigns, online measurements of particular biogenic organic acids were achieved by combining an online aerosol concentrator with the APCI-IT-MS. A holistic picture of the ambient organic aerosol was obtained through the co-located application of other complementary MS techniques, such as aerosol mass spectrometry (AMS) or filter sampling for the analysis by liquid chromatography / ultrahigh resolution mass spectrometry (LC/UHRMS).rnIn particular, during a summertime field study at the pristine boreal forest station in Hyytiälä, Finland, the partitioning of organic acids between gas and particle phase was quantified, based on the online APCI-IT-MS and AMS measurements. It was found that low volatile compounds reside to a large extent in the gas phase. This observation can be interpreted as a consequence of large aerosol equilibration timescales, which build up due to the continuous production of low volatile compounds in the gas phase and/or a semi-solid phase state of the ambient aerosol. Furthermore, in-situ structural informations of particular compounds were achieved by using the MS/MS mode of the ion trap. The comparison to MS/MS spectra from laboratory generated SOA of specific monoterpene precursors indicated that laboratory SOA barely depicts the complexity of ambient SOA. Moreover, it was shown that the mass spectra of the laboratory SOA more closely resemble the ambient gas phase composition, indicating that the oxidation state of the ambient organic compounds in the particle phase is underestimated by the comparison to laboratory ozonolysis. These observations suggest that the micro-scale processes, such as the chemistry of aerosol aging or the gas-to-particle partitioning, need to be better understood in order to predict SOA concentrations more reliably.rnDuring a field study at the Mt. Kleiner Feldberg, Germany, a slightly different aerosol concentrator / APCI-IT-MS setup made the online analysis of new particle formation possible. During a particular nucleation event, the online mass spectra indicated that organic compounds of approximately 300 Da are main constituents of the bulk aerosol during ambient new particle formation. Co-located filter analysis by LC/UHRMS analysis supported these findings and furthermore allowed to determine the molecular formulas of the involved organic compounds. The unambiguous identification of several oxidized C 15 compounds indicated that oxidation products of sesquiterpenes can be important compounds for the initial formation and subsequent growth of atmospheric nanoparticles.rnThe LC/UHRMS analysis furthermore revealed that considerable amounts of organosulfates and nitrooxy organosulfates were detected on the filter samples. Indeed, it was found that several nitrooxy organosulfate related APCI-IT-MS mass traces were simultaneously enhanced. Concurrent particle phase ion chromatography and AMS measurements indicated a strong bias between inorganic sulfate and total sulfate concentrations, supporting the assumption that substantial amounts of sulfate was bonded to organic molecules.rnFinally, the comprehensive chemical analysis of the aerosol composition was compared to the hygroscopicity parameter kappa, which was derived from cloud condensation nuclei (CCN) measurements. Simultaneously, organic aerosol aging was observed by the evolution of a ratio between a second and a first generation biogenic oxidation product. It was found that this aging proxy positively correlates with increasing hygroscopicity. Moreover, it was observed that the bonding of sulfate to organic molecules leads to a significant reduction of kappa, compared to an internal mixture of the same mass fractions of purely inorganic sulfate and organic molecules. Concluding, it has been shown within this thesis that the application of modern mass spectrometric techniques allows for detailed insights into chemical and physico-chemical processes of atmospheric aerosols.rn
Resumo:
Chapter 1 of this thesis comprises a review of polyether polyamines, i.e., combinations of polyether scaffolds with polymers bearing multiple amino moieties. Focus is laid on controlled or living polymerization methods. Furthermore, fields in which the combination of cationic, complexing, and pH-sensitive properties of the polyamines and biocompatibility and water-solubility of polyethers promise enormous potential are presented. Applications include stimuli-responsive polymers with a lower critical solution temperature (LCST) and/or the ability to gel, preparation of shell cross-linked (SCL) micelles, gene transfection, and surface functionalization.rnIn Chapter 2, multiaminofunctional polyethers relying on the class of glycidyl amine comonomers for anionic ring-opening polymerization (AROP) are presented. In Chapter 2.1, N,N-diethyl glycidyl amine (DEGA) is introduced for copolymerization with ethylene oxide (EO). Copolymer microstructure is assessed using online 1H NMR kinetics, 13C NMR triad sequence analysis, and differential scanning calorimetry (DSC). The concurrent copolymerization of EO and DEGA is found to result in macromolecules with a gradient structure. The LCSTs of the resulting copolymers can be tailored by adjusting DEGA fraction or pH value of the environment. Quaternization of the amino moieties by methylation results in polyelectrolytes. Block copolymers are used for PEGylated gold nanoparticle formation. Chapter 2.2 deals with a glycidyl amine monomer with a removable protecting group at the amino moiety, for liberation of primary amines at the polyether backbone, which is N,N-diallyl glycidyl amine (DAGA). Its allyl groups are able to withstand the harsh basic conditions of AROP, but can be cleaved homogeneously after polymerization. Gradient as well as block copolymers poly(ethylene glycol)-PDAGA (PEG-PDAGA) are obtained. They are analyzed regarding their microstructure, LCST behavior, and cleavage of the protecting groups. rnChapter 3 describes applications of multi(amino)functional polyethers for functionalization of inorganic surfaces. In Chapter 3.1, they are combined with an acetal-protected catechol initiator, leading to well-defined PEG and heteromultifunctional PEG analogues. After deprotection, multifunctional PEG ligands capable of attaching to a variety of metal oxide surfaces are obtained. In a cooperative project with the Department of Inorganic and Analytical Chemistry, JGU Mainz, their potential is demonstrated on MnO nanoparticles, which are promising candidates as T1 contrast agents in magnetic resonance imaging. The MnO nanoparticles are solubilized in aqueous solution upon ligand exchange. In Chapter 3.2, a concept for passivation and functionalization of glass surfaces towards gold nanorods is developed. Quaternized mPEG-b-PqDEGA diblock copolymers are attached to negatively charged glass surfaces via the cationic PqDEGA blocks. The PEG blocks are able to suppress gold nanorod adsorption on the glass in the flow cell, analyzed by dark field microscopy.rnChapter 4 highlights a straightforward approach to poly(ethylene glycol) macrocycles. Starting from commercially available bishydroxy-PEG, cyclic polymers are available by perallylation and ring-closing metathesis in presence of Grubbs’ catalyst. Purification of cyclic PEG is carried out using α-cyclodextrin. This cyclic sugar derivative forms inclusion complexes with remaining unreacted linear PEG in aqueous solution. Simple filtration leads to pure macrocycles, as evidenced by SEC and MALDI-ToF mass spectrometry. Cyclic polymers from biocompatible precursors are interesting materials regarding their increased blood circulation time compared to their linear counterparts.rnIn the Appendix, A.1, a study of the temperature-dependent water-solubility of polyether copolymers is presented. Macroscopic cloud points, determined by turbidimetry, are compared with microscopic aggregation phenomena, monitored by continuous wave electron paramagnetic resonance (CW EPR) spectroscopy in presence of the amphiphilic spin probe and model drug (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO). These thermoresponsive polymers are promising candidates for molecular transport applications. The same techniques are applied in Chapter A.2 to explore the pH-dependence of the cloud points of PEG-PDEGA copolymers in further detail. It is shown that the introduction of amino moieties at the PEG backbone allows for precise manipulation of complex phase transition modes. In Chapter A.3, multi-hydroxyfunctional polysilanes are presented. They are obtained via copolymerization of the acetal-protected dichloro(isopropylidene glyceryl propyl ether)methylsilane monomer. The hydroxyl groups are liberated through acidic work-up, yielding versatile access to new multifunctional polysilanes.
Resumo:
Die qualitative und quantitative Analyse von Biomolekülen hat in den letzten Jahren und Jahrzehnten immer mehr an Bedeutung gewonnen. Durch das Aufkommen und die kontinuierliche Weiterentwicklung neuer Separations- und Detektionsmethoden und deren Verbindung miteinander zu leistungsfähigen Einheiten, erlangte man Schritt für Schritt neue Erkenntnisse bei ihrer Untersuchung. Die Elementmassenspektrometrie als nachweisstarke Detektionsmethode wird von vielen wissenschaftlichen Arbeitsgruppen bei der Trennung und Quantifizierung von Proteinen und Metalloproteinen mittels Detektion der in den Biomolekülen vorkommenden Metalle und Heteroatome angewendet. Heteroatome (z.B. Schwefel, Phosphor) haben im Plasma des ICP-MS (inductively coupled plasma - mass spectrometer) schlechte Ionisationseigenschaften und dementsprechend deutlich höhere Nachweisgrenzen als Metalle. Ein Ansatz, schlecht oder nicht detektierbare Verbindungen (also solche, die keine Metalle oder Heteroatome enthalten) mit dem ICP-MS sichtbar zu machen, ist die Markierung der selbigen mit Metallionen oder -cluster. rnIn dieser Arbeit ist es gelungen, der Analyse ganz unterschiedlicher Substanzklassen, zum einen metallische Nanopartikel und zum anderen Proteine, neue Impulse zu geben und zukünftiges Potential bei der Anwendung gekoppelter Techniken zur Separation und Detektion aufzuzeigen. Durch die Verwendung einer alten, aber neu konzipierten Trenntechnik, der Gelelektrophorese (GE), und deren Kopplung an einen modernen Detektor, dem ICP-MS, kann die für die Proteinanalytik weit verbreitete Gelelektrophorese ihr enormes Potential bei der Trennung verschiedenster Verbindungsklassen mit der exzellenten Nachweisstärke und Elementspezifität des ICP-MS verbinden und dadurch mit deutlich weniger Arbeitsaufwand als bisher qualitative und auch quantitative Ergebnisse produzieren. Bisher war dies nur mit großem präparativem Aufwand unter Verwendung der laser ablation möglich. Bei der Analyse von Nanopartikeln konnte aufgezeigt werden, dass durch die GE-ICP-MS-Kopplung aufgrund der guten Trenneigenschaften der GE vorhandene Spezies bzw. Fraktionen voneinander separiert werden und mit Hilfe des ICP-MS Informationen auf atomarem Niveau gewonnen werden können. Es war möglich, das atomare Verhältnis der Metallatome im Kern und der Schwefelatome in der Ligandenhülle eines Nanopartikels zu bestimmen und damit die Größe des Partikels abzuschätzen. Auch konnte die Anzahl der Goldatome in einem dem Schmid-Cluster ähnlichen Nanopartikel bestimmt werden, was vorher nur mit Hilfe von MALDI-TOF möglich war. Bei der Analyse von Biomolekülen konnte auf einfache Weise der Phosphorylierungsgrad verschiedener Proteine bestimmt werden. Auch bei kleinen Molekülen erzielt die Gelelektrophorese ausgezeichnete Trennergebnisse, wie z. B. bei der Analyse verschiedener Brom- und Iodspezies.rnDie stöchiometrische Kopplung eines Proteins an einen Nanopartikel, ohne eine der beiden Verbindungen in einem größeren Maße zu verändern, stellte jedoch eine Herausforderung dar, die im Rahmen dieser Arbeit nicht vollständig gelöst werden konnte. Verschiedene Ansätze zur Kopplung der beiden Substanzen wurden erprobt, jedoch führte keine zu dem gewünschten Ergebnis einer stöchiometrisch vollständigen und spezifischen Modifikation eines Proteins mit einem Nanopartikel. Durch das Potential der GE-ICP-MS-Kopplung bei der Analyse beider Substanz-klassen und dem Beweis der Praktikabilität und Zuverlässigkeit der Methode ist jedoch der Grundstein für weitere Forschungen auf diesem Gebiet gelegt worden. Ist eine geeignete chemische Kopplung der beiden Substanzklassen gefunden und beherrscht, steht auf analytischer Seite eine leistungsstarke Kombination aus Trennung und Detektion zur Verfügung, um die Quantifizierung von Proteinen entscheidend zu verbessern.rn
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Polymerbasierte Kolloide mit Groen im Nanometerbereich werden als aussichts- reiche Kandidaten fur die Verkapselung und den Transport von pharmazeutischen Wirkstoen angesehen. Daher ist es wichtig die physikalischen Prozesse, die die Bil- dung, Struktur und kinetische Stabilitat der polymerbasierten Kolloide beein ussen, besser zu verstehen. Allerdings ist die Untersuchung dieser Prozesse fur nanome- tergroe Objekte kompliziert und erfordert fortgeschrittene Techniken. In dieser Arbeit beschreibe ich Untersuchungen, bei denen Zwei-Farben-Fluoreszenzkreuz- korrelationsspektroskopie (DC FCCS) genutzt wurde, um Informationen uber die Wechselwirkung und den Austausch von dispergierten, nanometergroen Kolloiden zu bekommen. Zunachst habe ich den Prozess der Polymernanopartikelherstellung aus Emul- sionstropfen untersucht, welcher einen der am haugsten angewendeten Prozesse der Nanopartikelformulierung darstellt. Ich konnte zeigen, dass mit DC FCCS eindeutig und direkt Koaleszenz zwischen Emulsionstropfen gemessen werden kann. Dies ist von Interesse, da Koaleszenz als Hauptgrund fur die breite Groenverteilung der nalen Nanopartikel angesehen wird. Weiterhin habe ich den Austausch von Mizellen bildenden Molekulen zwischen amphiphilen Diblock Kopolymermizellen untersucht. Als Modellsystem diente ein Linear-Burste Block Kopolymer, welches Mizellen mit einer dichten und kurzen Korona bildet. Mit Hilfe von DC FCCS konnte der Austausch in verschiedenen Losungsmitteln und bei verschiedenen Temperaturen beobachtet werden. Ich habe herausgefunden, dass in Abhangigkeit der Qualitat des Losungsmittels die Zeit des Austausches um Groenordnungen verschoben werden kann, was eine weitreichende Einstellung der Austauschkinetik ermoglicht. Eine Eigenschaft die all diese Kolloide gemeinsam haben ist ihre Polydispersitat. Im letzten Teil meiner Arbeit habe ich am Beispiel von Polymeren als Modellsystem untersucht, welchen Eekt Polydispersitat und die Art der Fluoreszenzmarkierung auf FCS Experimente haben. Eine Anpassung des klassischen FCS Modells kann die FCS Korrelationskurven dieser Systeme beschreiben. Die Richtigkeit meines Ansatzes habe ich mit dem Vergleich zur Gel-Permeations-Chromatographie und Brownschen Molekulardynamiksimulationen bestatigt.
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Die Gesundheitseffekte von Aerosolpartikeln werden stark von ihren chemischen und physikalischen Eigenschaften und somit den jeweiligen Bildungsprozessen und Quellencharakteristika beeinflusst. Während die Hauptquellen der anthropogenen Partikelemissionen gut untersucht sind, stellen die spezifischen Emissionsmuster zahlreicher kleiner Aerosolquellen, welche lokal und temporär zu einer signifikanten Verschlechterung der Luftqualität beitragen können, ein Forschungsdesiderat dar.rnIn der vorliegenden Arbeit werden in kombinierten Labor- und Feldmessungen durch ein integratives Analysekonzept mittels online (HR-ToF-AMS ) und filterbasierter offline (ATR-FTIR-Spektroskopie ) Messverfahren die weitgehend unbekannten physikalischen und chemischen Eigenschaften der Emissionen besonderer anthropogener Aerosolquellen untersucht. Neben einem Fußballstadion als komplexe Mischung verschiedener Aerosolquellen wie Frittieren und Grillen, Zigarettenrauchen und Pyrotechnik werden die Emissionen durch Feuerwerkskörper, landwirtschaftliche Intensivtierhaltung (Legehennen), Tief- und Straßenbauarbeiten sowie abwasserbürtige Aerosolpartikel in die Studie mit eingebunden. Die primären Partikelemissionen der untersuchten Quellen sind vorrangig durch kleine Partikelgrößen (dp < 1 µm) und somit eine hohe Lungengängigkeit gekennzeichnet. Dagegen zeigen die Aerosolpartikel im Stall der landwirtschaftlichen Intensivtierhaltung sowie die Emissionen durch die Tiefbauarbeiten einen hohen Masseanteil von Partikeln dp > 1 µm. Der Fokus der Untersuchung liegt auf der chemischen Charakterisierung der organischen Partikelbestandteile, welche für viele Quellen die NR-PM1-Emissionen dominieren. Dabei zeigen sich wichtige quellenspezifische Unterschiede in der Zusammensetzung der organischen Aerosolfraktion. Die beim Abbrand von pyrotechnischen Gegenständen freigesetzten sowie die abwasserbürtigen Aerosolpartikel enthalten dagegen hohe relative Gehalte anorganischer Substanzen. Auch können in einigen spezifischen Emissionen Metallverbindungen in den AMS-Massenspektren nachgewiesen werden. Über die Charakterisierung der Emissionsmuster und -dynamiken hinaus werden für einige verschiedenfarbige Rauchpatronen sowie die Emissionen im Stall der Intensivtierhaltung Emissionsfaktoren bestimmt, die zur quantitativen Bilanzierung herangezogen werden können. In einem weiteren Schritt werden anhand der empirischen Daten die analytischen Limitierungen der Aerosolmassenspektrometrie wie die Interferenz organischer Fragmentionen durch (Hydrogen-)Carbonate und mögliche Auswertestrategien zur Überwindung dieser Grenzen vorgestellt und diskutiert.rnEine umfangreiche Methodenentwicklung zur Verbesserung der analytischen Aussagekraft von organischen AMS-Massenspektren zeigt, dass für bestimmte Partikeltypen einzelne Fragmentionen in den AMS-Massenspektren signifikant mit ausgewählten funktionellen Molekülgruppen der FTIR-Absorptionsspektren korrelieren. Bedingt durch ihre fehlende Spezifität ist eine allgemeingültige Interpretation von AMS-Fragmentionen als Marker für verschiedene funktionelle Gruppen nicht zulässig und häufig nur durch die Ergebnisse der komplementären FTIR-Spektroskopie möglich. Des Weiteren wurde die Verdampfung und Ionisation ausgewählter Metallverbindungen im AMS analysiert. Die Arbeit verdeutlicht, dass eine qualitative und quantitative Auswertung dieser Substanzen nicht ohne Weiteres möglich ist. Die Gründe hierfür liegen in einer fehlenden Reproduzierbarkeit des Verdampfungs- und Ionisationsprozesses aufgrund von Matrixeffekten sowie der in Abhängigkeit vorangegangener Analysen (Verdampferhistorie) in der Ionisationskammer und auf dem Verdampfer statt-findenden chemischen Reaktionen.rnDie Erkenntnisse der Arbeit erlauben eine Priorisierung der untersuchten anthropogenen Quellen nach bestimmten Messparametern und stellen für deren Partikelemissionen den Ausgangpunkt einer Risikobewertung von atmosphärischen Folgeprozessen sowie potentiell negativen Auswirkungen auf die menschliche Gesundheit dar. rn
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High-resolution microscopy techniques provide a plethora of information on biological structures from the cellular level down to the molecular level. In this review, we present the unique capabilities of transmission electron and atomic force microscopy to assess the structure, oligomeric state, function and dynamics of channel and transport proteins in their native environment, the lipid bilayer. Most importantly, membrane proteins can be visualized in the frozen-hydrated state and in buffer solution by cryo-transmission electron and atomic force microscopy, respectively. We also illustrate the potential of the scintillation proximity assay to study substrate binding of detergent-solubilized transporters prior to crystallization and structural characterization.
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The experimental verification of matrix diffusion in crystalline rocks largely relies on indirect methods performed in the laboratory. Such methods are prone to perturbations of the rock samples by collection and preparation and therefore the laboratory-derived transport properties and fluid composition might not represent in situ conditions. We investigated the effects induced by the drilling process and natural rock stress release by mass balance considerations and sensitivity analysis of analytical out-diffusion data obtained from originally saturated, large-sized drillcore material from two locations drilled using traced drilling fluid. For in situ stress-released drillcores of quartz-monzodiorite composition from the Aspo HRL, Sweden, tracer mass balance considerations and 1D and 2D diffusion modelling consistently indicated a contamination of <1% of the original pore water. This chemically disturbed zone extends to a maximum of 0.1 mm into the drillcore (61.8 mm x 180.1 mm) corresponding to about 0.66% of the total pore volume (0.77 vol.%). In contrast, the combined effects of stress release and the drilling process, which have influenced granodioritic drillcore material from 560 m below surface at Forsmark. Sweden, resulted in a maximum contamination of the derived porewater Cl(-) concentration of about 8%. The mechanically disturbed zone with modified diffusion properties covers the outermost similar to 6 mm of the drillcore (50 mm x 189 mm), whereas the chemically disturbed zone extends to a maximum of 0.3 mm based on mass balance considerations, and to 0.15 mm to 0.2 mm into the drillcore based on fitting the observed tracer data. This corresponds to a maximum of 2.4% of the total pore volume (0.62 vol.%) being affected by the drilling-fluid contamination. The proportion of rock volume affected initially by drilling fluid or subsequently with experiment water during the laboratory diffusion and re-saturation experiments depends on the size of the drillcore material and will become larger the smaller the sample used for the experiment. The results are further in support of matrix diffusion taking place in the undisturbed matrix of crystalline rocks at least in the cm range.
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The analysis of short segments of noise-contaminated, multivariate real world data constitutes a challenge. In this paper we compare several techniques of analysis, which are supposed to correctly extract the amount of genuine cross-correlations from a multivariate data set. In order to test for the quality of their performance we derive time series from a linear test model, which allows the analytical derivation of genuine correlations. We compare the numerical estimates of the four measures with the analytical results for different correlation pattern. In the bivariate case all but one measure performs similarly well. However, in the multivariate case measures based on the eigenvalues of the equal-time cross-correlation matrix do not extract exclusively information about the amount of genuine correlations, but they rather reflect the spatial organization of the correlation pattern. This may lead to failures when interpreting the numerical results as illustrated by an application to three electroencephalographic recordings of three patients suffering from pharmacoresistent epilepsy.
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Bone research is limited by the methods available for detecting changes in bone metabolism. While dual X-ray absorptiometry is rather insensitive, biochemical markers are subject to significant intra-individual variation. In the study presented here, we evaluated the isotopic labeling of bone using 41Ca, a long-lived radiotracer, as an alternative approach. After successful labeling of the skeleton, changes in the systematics of urinary 41Ca excretion are expected to directly reflect changes in bone Ca metabolism. A minute amount of 41Ca (100 nCi) was administered orally to 22 postmenopausal women. Kinetics of tracer excretion were assessed by monitoring changes in urinary 41Ca/40Ca isotope ratios up to 700 days post-dosing using accelerator mass spectrometry and resonance ionization mass spectrometry. Isotopic labeling of the skeleton was evaluated by two different approaches: (i) urinary 41Ca data were fitted to an established function consisting of an exponential term and a power law term for each individual; (ii) 41Ca data were analyzed by population pharmacokinetic (NONMEM) analysis to identify a compartmental model that describes urinary 41Ca tracer kinetics. A linear three-compartment model with a central compartment and two sequential peripheral compartments was found to best fit the 41Ca data. Fits based on the use of the combined exponential/power law function describing urinary tracer excretion showed substantially higher deviations between predicted and measured values than fits based on the compartmental modeling approach. By establishing the urinary 41Ca excretion pattern using data points up to day 500 and extrapolating these curves up to day 700, it was found that the calculated 41Ca/40Ca isotope ratios in urine were significantly lower than the observed 41Ca/40Ca isotope ratios for both techniques. Compartmental analysis can overcome this limitation. By identifying relative changes in transfer rates between compartments in response to an intervention, inaccuracies in the underlying model cancel out. Changes in tracer distribution between compartments were modeled based on identified kinetic parameters. While changes in bone formation and resorption can, in principle, be assessed by monitoring urinary 41Ca excretion over the first few weeks post-dosing, assessment of an intervention effect is more reliable approximately 150 days post-dosing when excreted tracer originates mainly from bone.
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Solid oxide fuel cells (SOFCs) are promising devices for stationary and portable power and heat generation, because they can use complex fuels such as hydro-carbons, CO, and alcohols. Extreme, non-equilibrium conditions and high tem-peratures (≥ 700 ˚C) required for SOFC operation hamper efforts to understand the mechanisms of component degradation in SOFCs. This talk focuses on new insights into SOFC chemistry and the conversion of carbon-containing fuels (both hydrocarbons and oxygenated) into electricity, carbon dioxide and water, gleaned from a combination of techniques including electrochemical impedance spectroscopy, voltammetry, and vibrational Raman scattering.
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Electrospinning (ES) can readily produce polymer fibers with cross-sectional dimensions ranging from tens of nanometers to tens of microns. Qualitative estimates of surface area coverage are rather intuitive. However, quantitative analytical and numerical methods for predicting surface coverage during ES have not been covered in sufficient depth to be applied in the design of novel materials, surfaces, and devices from ES fibers. This article presents a modeling approach to ES surface coverage where an analytical model is derived for use in quantitative prediction of surface coverage of ES fibers. The analytical model is used to predict the diameter of circular deposition areas of constant field strength and constant electrostatic force. Experimental results of polyvinyl alcohol fibers are reported and compared to numerical models to supplement the analytical model derived. The analytical model provides scientists and engineers a method for estimating surface area coverage. Both applied voltage and capillary-to-collection-plate separation are treated as independent variables for the analysis. The electric field produced by the ES process was modeled using COMSOL Multiphysics software to determine a correlation between the applied field strength and the size of the deposition area of the ES fibers. MATLAB scripts were utilized to combine the numerical COMSOL results with derived analytical equations. Experimental results reinforce the parametric trends produced via modeling and lend credibility to the use of modeling techniques for the qualitative prediction of surface area coverage from ES. (Copyright: 2014 American Vacuum Society.)
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Deep geological storage of radioactive waste foresees cementitious materials as reinforcement of tunnels and as backfill. Bentonite is proposed to enclose spent fuel drums, and as drift seals. The emplacement of cementitious material next to clay material generates an enormous chemical gradient in pore water composition that drives diffusive solute transport. Laboratory studies and reactive transport modeling predict significant mineral alteration at and near interfaces, mainly resulting in a decrease of porosity in bentonite. The goal of this project is to characterize and quantify the cement/bentonite skin effects spatially and temporally in laboratory experiments. A newly developed mobile X-ray transparent core infiltration device was used, which allows performing X-ray computed tomography (CT) periodically without interrupting a running experiment. A pre-saturated cylindrical MX-80 bentonite sample (1920 kg/m3 average wet density) is subjected to a confining pressure as a constant total pressure boundary condition. The infiltration of a hyperalkaline (pH 13.4), artificial OPC (ordinary Portland cement) pore water into the bentonite plug alters the mineral assemblage over time as an advancing reaction front. The related changes in X-ray attenuation values are related to changes in phase densities, porosity and local bulk density and are tracked over time periodically by non-destructive CT scans.