Development, characterization, and application of flowing atmospheric-pressure afterglow ionization for mass spectrometric analysis of ambient organic aerosols

Addressing current limitations of state-of-the-art instrumentation in aerosol research, the aim of this work was to explore and assess the applicability of a novel soft ionization technique, namely flowing atmospheric-pressure afterglow (FAPA), for the mass spectrometric analysis of airborne particulate organic matter. Among other soft ionization methods, the FAPA ionization technique was developed in the last decade during the advent of ambient desorption/ionization mass spectrometry (ADI–MS). Based on a helium glow discharge plasma at atmospheric-pressure, excited helium species and primary reagent ions are generated which exit the discharge region through a capillary electrode, forming the so-called afterglow region where desorption and ionization of the analytes occurs. Commonly, fragmentation of the analytes during ionization is reported to occur only to a minimum extent, predominantly resulting in the formation of quasimolecular ions, i.e. [M+H]+ and [M–H]– in the positive and the negative ion mode, respectively. Thus, identification and detection of signals and their corresponding compounds is facilitated in the acquired mass spectra. The focus of the first part of this study lies on the application, characterization and assessment of FAPA–MS in the offline mode, i.e. desorption and ionization of the analytes from surfaces. Experiments in both positive and negative ion mode revealed ionization patterns for a variety of compound classes comprising alkanes, alcohols, aldehydes, ketones, carboxylic acids, organic peroxides, and alkaloids. Besides the always emphasized detection of quasimolecular ions, a broad range of signals for adducts and losses was found. Additionally, the capabilities and limitations of the technique were studied in three proof-of-principle applications. In general, the method showed to be best suited for polar analytes with high volatilities and low molecular weights, ideally containing nitrogen- and/or oxygen functionalities. However, for compounds with low vapor pressures, containing long carbon chains and/or high molecular weights, desorption and ionization is in direct competition with oxidation of the analytes, leading to the formation of adducts and oxidation products which impede a clear signal assignment in the acquired mass spectra. Nonetheless, FAPA–MS showed to be capable of detecting and identifying common limonene oxidation products in secondary OA (SOA) particles on a filter sample and, thus, is considered a suitable method for offline analysis of OA particles. In the second as well as the subsequent parts, FAPA–MS was applied online, i.e. for real time analysis of OA particles suspended in air. Therefore, the acronym AeroFAPA–MS (i.e. Aerosol FAPA–MS) was chosen to refer to this method. After optimization and characterization, the method was used to measure a range of model compounds and to evaluate typical ionization patterns in the positive and the negative ion mode. In addition, results from laboratory studies as well as from a field campaign in Central Europe (F–BEACh 2014) are presented and discussed. During the F–BEACh campaign AeroFAPA–MS was used in combination with complementary MS techniques, giving a comprehensive characterization of the sampled OA particles. For example, several common SOA marker compounds were identified in real time by MSn experiments, indicating that photochemically aged SOA particles were present during the campaign period. Moreover, AeroFAPA–MS was capable of detecting highly oxidized sulfur-containing compounds in the particle phase, presenting the first real-time measurements of this compound class. Further comparisons with data from other aerosol and gas-phase measurements suggest that both particulate sulfate as well as highly oxidized peroxyradicals in the gas phase might play a role during formation of these species. Besides applying AeroFAPA–MS for the analysis of aerosol particles, desorption processes of particles in the afterglow region were investigated in order to gain a more detailed understanding of the method. While during the previous measurements aerosol particles were pre-evaporated prior to AeroFAPA–MS analysis, in this part no external heat source was applied. Particle size distribution measurements before and after the AeroFAPA source revealed that only an interfacial layer of OA particles is desorbed and, thus, chemically characterized. For particles with initial diameters of 112 nm, desorption radii of 2.5–36.6 nm were found at discharge currents of 15–55 mA from these measurements. In addition, the method was applied for the analysis of laboratory-generated core-shell particles in a proof-of-principle study. As expected, predominantly compounds residing in the shell of the particles were desorbed and ionized with increasing probing depths, suggesting that AeroFAPA–MS might represent a promising technique for depth profiling of OA particles in future studies.

Sprühgetrocknete Polylaktid, Poly(laktid-co-glykolid) Mikropartikel zur Steuerung der Freisetzung aus pulmonalen Arzneiformen

Zusammenfassung Die vorliegende Arbeit hat zum Ziel, pharmazeutisch-technologische Möglichkeiten der Retardierung bei ausgewählten Antiasthmatika zur pulmonalen Applikation anzuwenden. Dafür sollten Mikropartikel hergestellt und pharmazeutisch sowie biopharmazeutisch charakterisiert werden. Als Modellsubstanzen werden das Glukokortikoid Budesonid und das β2-Sympathomimetikum Salbutamol in Form seiner Base und seines Salzes verwendet. Die Auswahl erfolgt nach physikochemischen (Lipophilie, Molekulargewicht) und therapeutischen (Halbwertszeit der Wirkung, Applikationsfrequenz) Gesichtspunkten. Mikropartikel auf Polymerbasis ermöglichen eine kontrollierte Freigabe der Arzneistoffe über einen vorausbestimmten Zeitraum. Es erfolgt die Auswahl physiologisch unbedenklicher Hilfsstoffe (Polylaktide R 202H/ Poly(laktid-co-glykolide) RG 502H, RG 752-S) mit unterschiedlichen Anteilen an Coglykolid sowie unterschiedlichen Molekulargewichten, die sich prinzipiell zur Verzögerung der Freisetzung eignen und sich bei der parenteralen Applikation bereits bewährt haben. Die Sprühtrocknung wird als geeignetes pharmazeutisch-technologisches Verfahren zur Präparation von Mikropartikeln im Teilchengrößenbereich von 1- 10 Mikrometern beschrieben, welche den Wirkstoff mit möglichst hoher Beladung verkapselt. Die sprühgetrockneten Pulver sollen pharmazeutisch physikochemisch mittels Rasterelektronenmikroskopie (Morphologie), Laserdiffraktometrie (Teilchengrößenverteilung), DSC und Röntgenpulverdiffraktometrie (thermisches Verhalten) und mittels Stickstoff-Tief-Temperatur Adsorptionsverfahren (spezifische Oberfläche) charakterisiert werden. Zusätzlich wird die Wirkstoffbeladung der sprühgetrockneten Polymer-Mikropartikel mittels HPLC ermittelt. Die biopharmazeutische Charakterisierung der sprühgetrockneten Pulver erfolgt über die in-vitro Freigabekinetik und die Stabilität der Mikropartikel. Zusätzlich werden Versuche an Zellkulturen und in-vivo Versuche an Mäusen durchgeführt, um die Effekte der sprühgetrockneten Mikropartikel und des Hilfsstoffs hinsichtlich der Freisetzungsretardierung zu testen. Bei den in-vivo Versuchen werden der Atemwegswiderstand und die Verlängerung der exspiratorischen Phase (penh) als Parameter für einen antiasthmatischen Effekt gewählt. Die Lungenlavage Flüssigkeit wird zusätzlich überprüft. Die Ergebnisse zeigen, dass es mit Hilfe der Sprühtrocknung möglich ist, Polymer-Mikropartikel herzustellen, die aufgrund ihrer Partikelgröße von d50 ≤ 5,8 µm fähig sind, die unteren Abschnitte der Lunge zu erreichen. Die Morphologie der Mikropartikel ist abhängig vom zu versprühenden Produkt. Thermodynamisch und röntgenpulverdiffraktometrisch betrachtet handelt es sich um amorphe Produkte, die aber über lange Zeit in diesem Zustand stabil sind. Die Wiederfindung der eingesetzten Arzneistoffmenge in den sprühgetrockneten Polymer-Mikropartikeln und die Freigabeversuche zur Charakterisierung der Retardierungseigenschaften der verwendeten Polymere ergeben, dass es mit Hilfe der Sprühtrocknung von Budesonid und Salbutamol mit den Polymeren möglich ist, retardierende Mikropartikel herzustellen. Die Wiederfindung von Budesonid und Salbutamol in den sprühgetrockneten Polymer-Mikropartikeln entspricht nahezu der eingesetzten Menge. Bei Salbutamolsulfat ist dies nicht der Fall. In Zellkulturversuchen der murinen Zellinie RAW 264.7 ergaben sich Hinweise darauf, dass bei Konzentrationen von 10-6 M und 10-8 M, die Downregulation der IL-6 Konzentration durch die Sprüheinbettung von 9,1 % Budesonid mit PLGA in stärkerem Ausmaß erfolgte, als bei unverkapseltem Budesonid. Zusätzlich wurden in-vivo Versuche mit intranasaler und intraperitonealer Gabe durchgeführt. Die Budesonid-Polymer Sprüheinbettung wurde mit unverkapseltem Budesonid vergleichen. Nach intraperitonealer Gabe hatte die Sprüheinbettung mit Budesonid die besten Effekte hinsichtlich der Unterdrückung des penh und des Atemwegswiderstands auch bei steigenden Metacholinkonzentrationen. Die Auswertung der Lungenlavage Flüssigkeit zeigt sehr deutlich die Downregulation der IL-6 Konzentration in der Lunge durch die Sprüheinbettung mit Budesonid. Zur Zeit werden Vorbereitungen getroffen, ein Gerät zu testen, das in der Lage ist, ein Mikrospray zu generieren, so dass eine intratracheale Verabreichung möglich wäre.

Effect of drug physicochemical properties on the release from liposomal systems in vitro and in vivo

Liposomes were discovered about 40 years ago by A. Bangham and since then they became very versatile tools in biology, biochemistry and medicine. Liposomes are the smallest artificial vesicles of spherical shape that can be produced from natural untoxic phospholipids and cholesterol. Liposome vesicles can be used as drug carriers and become loaded with a great variety of molecules, such as small drug molecules, proteins, nucleotides and even plasmids. Due to the variability of liposomal compositions they can be used for a large number of applications. In this thesis the β-adrenoceptor antagonists propranolol, metoprolol, atenolol and pindolol, glucose, 18F-Fluorodeoxyglucose (FDG) and Er-DTPA were used for encapsulation in liposomes, characterization and in vitro release studies. Multilamellar vesicles (MLV), large unilamellar vesicles (LUV) and smaller unilamellar vesicles (SUV) were prepared using one of the following lipids: 1,2-Dimyristoyl-sn-Glycero-3-Phosphocholine (DMPC), 1,2-Distearoyl-sn-Glycero-3-Phosphocholine (DSPC), Phospholipone 90H (Ph90H) or a mixture of DSPC and DMPC (1:1). The freeze thawing method was used for preparation of liposomes because it has three advantages (1) avoiding the use of chloroform, which is used in other methods and causes toxicity (2) it is a simple method and (3) it gives high entrapping efficiency. The percentage of entrapping efficiencies (EE) was different depending on the type and phase transition temperature (Tc) of the lipid used. The average particle size and particle size distribution of the prepared liposomes were determined using both dynamic light scattering (DLS) and laser diffraction analyzer (LDA). The average particle size of the prepared liposomes differs according to both liposomal type and lipid type. Dispersion and dialysis techniques were used for the study of the in vitro release of β-adrenoceptor antagonists. The in vitro release rate of β-adrenoceptor antagonists was increased from MLV to LUV to SUV. Regarding the lipid type, β-adrenoceptor antagonists exhibited different in vitro release pattern from one lipid to another. Two different concentrations (50 and 100mg/ml) of Ph90H were used for studying the effect of lipid concentration on the in vitro release of β-adrenoceptor antagonists. It was found that liposomes made from 50 mg/ml Ph90H exhibited higher release rates than liposomes made at 100 mg/ml Ph90H. Also glucose was encapsulated in MLV, LUV and SUV using 1,2-Dimyristoyl-sn-Glycero-3-Phosphocholine (DMPC), 1,2-Distearoyl-sn-Glycero-3-Phosphocholine (DSPC), Phospholipone 90H (Ph90H), soybean lipid (Syb) or a mixture of DSPC and DMPC (1:1). The average particle size and size distribution were determined using laser diffraction analysis. It was found that both EE and average particle size differ depending on both lipid and liposomal types. The in vitro release of glucose from different types of liposomes was performed using a dispersion method. It was found that the in vitro release of glucose from different liposomes is dependent on the lipid type. 18F-FDG was encapsulated in MLV 1,2-Dimyristoyl-sn-Glycero-3-Phosphocholine (DMPC), 1,2-Distearoyl-sn-Glycero-3-Phosphocholine (DSPC), Phospholipone 90H (Ph90H), soybean lipid (Syb) or a mixture of DSPC and DMPC (1:1). FDG-containing LUV and SUV were prepared using Ph90H lipid. The in vitro release of FDG from the different types of lipids was accomplished using a dispersion method. Results similar to that of glucose release were obtained. In vivo imaging of FDG in both uncapsulated FDG and FDG-containing MLV was performed in the brain and the whole body of rats using PET scanner. It was found that the release of FDG from FDG-containing MLV was sustained. In vitro-In vivo correlation was studied using the in vitro release data of FDG from liposomes and in vivo absorption data of FDG from injected liposomes using microPET. Erbium, which is a lanthanide metal, was used as a chelate with DTPA for encapsulation in SUV liposomes for the indirect radiation therapy of cancer. The liposomes were prepared using three different concentrations of soybean lipid (30, 50 and 70 mg/ml). The stability of Er-DTPA SUV liposomes was carried out by storage of the prepared liposomes at three different temperatures (4, 25 and 37 °C). It was found that the release of Er-DTPA complex is temperature dependent, the higher the temperature, the higher the release. There was an inverse relationship between the release of the Er-DTPA complex and the concentration of lipid.

Pore structure and column efficiency of silica monoliths in high performance liquid chromatography (HPLC)

Five different methods were critically examined to characterize the pore structure of the silica monoliths. The mesopore characterization was performed using: a) the classical BJH method of nitrogen sorption data, which showed overestimated values in the mesopore distribution and was improved by using the NLDFT method, b) the ISEC method implementing the PPM and PNM models, which were especially developed for monolithic silicas, that contrary to the particulate supports, demonstrate the two inflection points in the ISEC curve, enabling the calculation of pore connectivity, a measure for the mass transfer kinetics in the mesopore network, c) the mercury porosimetry using a new recommended mercury contact angle values. rnThe results of the characterization of mesopores of monolithic silica columns by the three methods indicated that all methods were useful with respect to the pore size distribution by volume, but only the ISEC method with implemented PPM and PNM models gave the average pore size and distribution based on the number average and the pore connectivity values.rnThe characterization of the flow-through pore was performed by two different methods: a) the mercury porosimetry, which was used not only for average flow-through pore value estimation, but also the assessment of entrapment. It was found that the mass transfer from the flow-through pores to mesopores was not hindered in case of small sized flow-through pores with a narrow distribution, b) the liquid penetration where the average flow-through pore values were obtained via existing equations and improved by the additional methods developed according to Hagen-Poiseuille rules. The result was that not the flow-through pore size influences the column bock pressure, but the surface area to volume ratio of silica skeleton is most decisive. Thus the monolith with lowest ratio values will be the most permeable. rnThe flow-through pore characterization results obtained by mercury porosimetry and liquid permeability were compared with the ones from imaging and image analysis. All named methods enable a reliable characterization of the flow-through pore diameters for the monolithic silica columns, but special care should be taken about the chosen theoretical model.rnThe measured pore characterization parameters were then linked with the mass transfer properties of monolithic silica columns. As indicated by the ISEC results, no restrictions in mass transfer resistance were noticed in mesopores due to their high connectivity. The mercury porosimetry results also gave evidence that no restrictions occur for mass transfer from flow-through pores to mesopores in the small scaled silica monoliths with narrow distribution. rnThe prediction of the optimum regimes of the pore structural parameters for the given target parameters in HPLC separations was performed. It was found that a low mass transfer resistance in the mesopore volume is achieved when the nominal diameter of the number average size distribution of the mesopores is appr. an order of magnitude larger that the molecular radius of the analyte. The effective diffusion coefficient of an analyte molecule in the mesopore volume is strongly dependent on the value of the nominal pore diameter of the number averaged pore size distribution. The mesopore size has to be adapted to the molecular size of the analyte, in particular for peptides and proteins. rnThe study on flow-through pores of silica monoliths demonstrated that the surface to volume of the skeletons ratio and external porosity are decisive for the column efficiency. The latter is independent from the flow-through pore diameter. The flow-through pore characteristics by direct and indirect approaches were assessed and theoretical column efficiency curves were derived. The study showed that next to the surface to volume ratio, the total porosity and its distribution of the flow-through pores and mesopores have a substantial effect on the column plate number, especially as the extent of adsorption increases. The column efficiency is increasing with decreasing flow through pore diameter, decreasing with external porosity, and increasing with total porosity. Though this tendency has a limit due to heterogeneity of the studied monolithic samples. We found that the maximum efficiency of the studied monolithic research columns could be reached at a skeleton diameter of ~ 0.5 µm. Furthermore when the intention is to maximize the column efficiency, more homogeneous monoliths should be prepared.rn

Plasmons as sensors

“Plasmon” is a synonym for collective oscillations of the conduction electrons in a metal nanoparticle (excited by an incoming light wave), which cause strong optical responses like efficient light scattering. The scattering cross-section with respect to the light wavelength depends not only on material, size and shape of the nanoparticle, but also on the refractive index of the embedding medium. For this reason, plasmonic nanoparticles are interesting candidates for sensing applications. Here, two novel setups for rapid spectral investigations of single nanoparticles and different sensing experiments are presented.rnrnPrecisely, the novel setups are based on an optical microscope operated in darkfield modus. For the fast single particle spectroscopy (fastSPS) setup, the entrance pinhole of a coupled spectrometer is replaced by a liquid crystal device (LCD) acting as spatially addressable electronic shutter. This improvement allows the automatic and continuous investigation of several particles in parallel for the first time. The second novel setup (RotPOL) usesrna rotating wedge-shaped polarizer and encodes the full polarization information of each particle within one image, which reveals the symmetry of the particles and their plasmon modes. Both setups are used to observe nanoparticle growth in situ on a single-particle level to extract quantitative data on nanoparticle growth.rnrnUsing the fastSPS setup, I investigate the membrane coating of gold nanorods in aqueous solution and show unequivocally the subsequent detection of protein binding to the membrane. This binding process leads to a spectral shift of the particles resonance due to the higher refractive index of the protein compared to water. Hence, the nanosized addressable sensor platform allows for local analysis of protein interactions with biological membranes as a function of the lateral composition of phase separated membranes.rnrnThe sensitivity on changes in the environmental refractive index depends on the particles’ aspect ratio. On the basis of simulations and experiments, I could present the existence of an optimal aspect ratio range between 3 and 4 for gold nanorods for sensing applications. A further sensitivity increase can only be reached by chemical modifications of the gold nanorods. This can be achieved by synthesizing an additional porous gold cage around the nanorods, resulting in a plasmon sensitivity raise of up to 50 % for those “nanorattles” compared to gold nanorods with the same resonance wavelength. Another possibility isrnto coat the gold nanorods with a thin silver shell. This reduces the single particle’s resonance spectral linewidth about 30 %, which enlarges the resolution of the observable shift. rnrnThis silver coating evokes the interesting effect of reducing the ensemble plasmon linewidth by changing the relation connecting particle shape and plasmon resonance wavelength. This change, I term plasmonic focusing, leads to less variation of resonance wavelengths for the same particle size distribution, which I show experimentally and theoretically.rnrnIn a system of two coupled nanoparticles, the plasmon modes of the transversal and longitudinal axis depend on the refractive index of the environmental solution, but only the latter one is influenced by the interparticle distance. I show that monitoring both modes provides a self-calibrating system, where interparticle distance variations and changes of the environmental refractive index can be determined with high precision.

Measurement and modeling of cloud condensation nuclei in continental air

Atmospheric aerosol particles serving as cloud condensation nuclei (CCN) are key elements of the hydrological cycle and climate. Knowledge of the spatial and temporal distribution of CCN in the atmosphere is essential to understand and describe the effects of aerosols in meteorological models. In this study, CCN properties were measured in polluted and pristine air of different continental regions, and the results were parameterized for efficient prediction of CCN concentrations.The continuous-flow CCN counter used for size-resolved measurements of CCN efficiency spectra (activation curves) was calibrated with ammonium sulfate and sodium chloride aerosols for a wide range of water vapor supersaturations (S=0.068% to 1.27%). A comprehensive uncertainty analysis showed that the instrument calibration depends strongly on the applied particle generation techniques, Köhler model calculations, and water activity parameterizations (relative deviations in S up to 25%). Laboratory experiments and a comparison with other CCN instruments confirmed the high accuracy and precision of the calibration and measurement procedures developed and applied in this study.The mean CCN number concentrations (NCCN,S) observed in polluted mega-city air and biomass burning smoke (Beijing and Pearl River Delta, China) ranged from 1000 cm−3 at S=0.068% to 16 000 cm−3 at S=1.27%, which is about two orders of magnitude higher than in pristine air at remote continental sites (Swiss Alps, Amazonian rainforest). Effective average hygroscopicity parameters, κ, describing the influence of chemical composition on the CCN activity of aerosol particles were derived from the measurement data. They varied in the range of 0.3±0.2, were size-dependent, and could be parameterized as a function of organic and inorganic aerosol mass fraction. At low S (≤0.27%), substantial portions of externally mixed CCN-inactive particles with much lower hygroscopicity were observed in polluted air (fresh soot particles with κ≈0.01). Thus, the aerosol particle mixing state needs to be known for highly accurate predictions of NCCN,S. Nevertheless, the observed CCN number concentrations could be efficiently approximated using measured aerosol particle number size distributions and a simple κ-Köhler model with a single proxy for the effective average particle hygroscopicity. The relative deviations between observations and model predictions were on average less than 20% when a constant average value of κ=0.3 was used in conjunction with variable size distribution data. With a constant average size distribution, however, the deviations increased up to 100% and more. The measurement and model results demonstrate that the aerosol particle number and size are the major predictors for the variability of the CCN concentration in continental boundary layer air, followed by particle composition and hygroscopicity as relatively minor modulators. Depending on the required and applicable level of detail, the measurement results and parameterizations presented in this study can be directly implemented in detailed process models as well as in large-scale atmospheric and climate models for efficient description of the CCN activity of atmospheric aerosols.