Design and development of new pressure sensors for aerodynamic applications

This artwork reports on two different projects that were carried out during the three years of Doctor of the Philosophy course. In the first years a project regarding Capacitive Pressure Sensors Array for Aerodynamic Applications was developed in the Applied Aerodynamic research team of the Second Faculty of Engineering, University of Bologna, Forlì, Italy, and in collaboration with the ARCES laboratories of the same university. Capacitive pressure sensors were designed and fabricated, investigating theoretically and experimentally the sensor’s mechanical and electrical behaviours by means of finite elements method simulations and by means of wind tunnel tests. During the design phase, the sensor figures of merit are considered and evaluated for specific aerodynamic applications. The aim of this work is the production of low cost MEMS-alternative devices suitable for a sensor network to be implemented in air data system. The last two year was dedicated to a project regarding Wireless Pressure Sensor Network for Nautical Applications. Aim of the developed sensor network is to sense the weak pressure field acting on the sail plan of a full batten sail by means of instrumented battens, providing a real time differential pressure map over the entire sail surface. The wireless sensor network and the sensing unit were designed, fabricated and tested in the faculty laboratories. A static non-linear coupled mechanical-electrostatic simulation, has been developed to predict the pressure versus capacitance static characteristic suitable for the transduction process and to tune the geometry of the transducer to reach the required resolution, sensitivity and time response in the appropriate full scale pressure input A time dependent viscoelastic error model has been inferred and developed by means of experimental data in order to model, predict and reduce the inaccuracy bound due to the viscolelastic phenomena affecting the Mylar® polyester film used for the sensor diaphragm. The development of the two above mentioned subjects are strictly related but presently separately in this artwork.

X-Ray studies of the physics of matter around super-massive black-holes in nearby Seyfert galaxies

Seyfert galaxies are the closest active galactic nuclei. As such, we can use them to test the physical properties of the entire class of objects. To investigate their general properties, I took advantage of different methods of data analysis. In particular I used three different samples of objects, that, despite frequent overlaps, have been chosen to best tackle different topics: the heterogeneous BeppoS AX sample was thought to be optimized to test the average hard X-ray (E above 10 keV) properties of nearby Seyfert galaxies; the X-CfA was thought the be optimized to compare the properties of low-luminosity sources to the ones of higher luminosity and, thus, it was also used to test the emission mechanism models; finally, the XMM–Newton sample was extracted from the X-CfA sample so as to ensure a truly unbiased and well defined sample of objects to define the average properties of Seyfert galaxies. Taking advantage of the broad-band coverage of the BeppoS AX MECS and PDS instruments (between ~2-100 keV), I infer the average X-ray spectral propertiesof nearby Seyfert galaxies and in particular the photon index (~1.8), the high-energy cut-off (~290 keV), and the relative amount of cold reflection (~1.0). Moreover the unified scheme for active galactic nuclei was positively tested. The distribution of isotropic indicators used here (photon index, relative amount of reflection, high-energy cut-off and narrow FeK energy centroid) are similar in type I and type II objects while the absorbing column and the iron line equivalent width significantly differ between the two classes of sources with type II objects displaying larger absorbing columns. Taking advantage of the XMM–Newton and X–CfA samples I also deduced from measurements that 30 to 50% of type II Seyfert galaxies are Compton thick. Confirming previous results, the narrow FeK line is consistent, in Seyfert 2 galaxies, with being produced in the same matter responsible for the observed obscuration. These results support the basic picture of the unified model. Moreover, the presence of a X-ray Baldwin effect in type I sources has been measured using for the first time the 20-100 keV luminosity (EW proportional to L(20-100)^(−0.22±0.05)). This finding suggests that the torus covering factor may be a function of source luminosity, thereby suggesting a refinement of the baseline version of the unifed model itself. Using the BeppoSAX sample, it has been also recorded a possible correlation between the photon index and the amount of cold reflection in both type I and II sources. At a first glance this confirms the thermal Comptonization as the most likely origin of the high energy emission for the active galactic nuclei. This relation, in fact, naturally emerges supposing that the accretion disk penetrates, depending to the accretion rate, the central corona at different depths (Merloni et al. 2006): the higher accreting systems hosting disks down to the last stable orbit while the lower accreting systems hosting truncated disks. On the contrary, the study of the well defined X–C f A sample of Seyfert galaxies has proved that the intrinsic X-ray luminosity of nearby Seyfert galaxies can span values between 10^(38−43) erg s^−1, i.e. covering a huge range of accretion rates. The less efficient systems have been supposed to host ADAF systems without accretion disk. However, the study of the X–CfA sample has also proved the existence of correlations between optical emission lines and X-ray luminosity in the entire range of L_(X) covered by the sample. These relations are similar to the ones obtained if high-L objects are considered. Thus the emission mechanism must be similar in luminous and weak systems. A possible scenario to reconcile these somehow opposite indications is assuming that the ADAF and the two phase mechanism co-exist with different relative importance moving from low-to-high accretion systems (as suggested by the Gamma vs. R relation). The present data require that no abrupt transition between the two regimes is present. As mentioned above, the possible presence of an accretion disk has been tested using samples of nearby Seyfert galaxies. Here, to deeply investigate the flow patterns close to super-massive black-holes, three case study objects for which enough counts statistics is available have been analysed using deep X-ray observations taken with XMM–Newton. The obtained results have shown that the accretion flow can significantly differ between the objects when it is analyzed with the appropriate detail. For instance the accretion disk is well established down to the last stable orbit in a Kerr system for IRAS 13197-1627 where strong light bending effect have been measured. The accretion disk seems to be formed spiraling in the inner ~10-30 gravitational radii in NGC 3783 where time dependent and recursive modulation have been measured both in the continuum emission and in the broad emission line component. Finally, the accretion disk seems to be only weakly detectable in rk 509, with its weak broad emission line component. Finally, blueshifted resonant absorption lines have been detected in all three objects. This seems to demonstrate that, around super-massive black-holes, there is matter which is not confined in the accretion disk and moves along the line of sight with velocities as large as v~0.01-0.4c (whre c is the speed of light). Wether this matter forms winds or blobs is still matter of debate together with the assessment of the real statistical significance of the measured absorption lines. Nonetheless, if confirmed, these phenomena are of outstanding interest because they offer new potential probes for the dynamics of the innermost regions of accretion flows, to tackle the formation of ejecta/jets and to place constraints on the rate of kinetic energy injected by AGNs into the ISM and IGM. Future high energy missions (such as the planned Simbol-X and IXO) will likely allow an exciting step forward in our understanding of the flow dynamics around black holes and the formation of the highest velocity outflows.

Alimenti Funzionali e Componenti Nutraceutici come Biomodulatori

Recent knowledge supports the hypothesis that, beyond meeting nutrition needs, diet may modulate various functions in the body and play beneficial roles in some diseases. Research on functional foods is addressing the physiologic effects and health benefits of foods and food components, with the aim of authorizing specific health claims. The recognition that oxidative stress plays a major role in the pathophysiology of cardiac disorders has led to extensive investigations of the protective effects of exogenous antioxidants, but results are controversial. A promising strategy for protecting cardiac cells against oxidative damage may be through the induction of endogenous phase 2 enzymes with the enhancement of cellular antioxidant capacity. Sulforaphane (SF), a naturally occurring isothiocyanate abundant in Cruciferous vegetables, has gained attention as a potential chemopreventive compound thanks to its ability to induce several classes of genes implicated in reactive oxygen species (ROS) and electrophiles detoxification. Antioxidant responsive element (ARE)-mediated gene induction is a pivotal mechanism of cellular defence against the toxicity of electrophiles and ROS. The transcription factor NF-E2-related factor-2 (Nrf2), is essential for the up-regulation of these genes. We investigated whether SF could exert cardioprotective effects against oxidative stress and elucidated the mechanisms underpinning these effects. Accordingly, using cultured rat neonatal cardiomyocytes as a model system, we evaluated the time-dependent induction of gene transcription, the corresponding protein expression and activity of various antioxidant and phase 2 enzymes (catalase, superoxide dismutase, glutathione and related enzymes glutathione reductase, glutathione peroxidase and glutathione S-transferase, NAD(P)H: quinone oxidoreductase 1 and thioredoxine reductase) elicited by SF. The results were correlated to intracellular ROS production and cell viability after oxidative stress generated by H2O2, and confirmed the ability of SF to exert cytoprotective effects acting as an indirect antioxidant. Furthermore, to get better insight into SF mechanism of action, we investigated the effect of SF treatment on Nrf2 and the upstream signalling pathways MAPK ERK1/2 and PI3K/Akt, known to mediate a pro survival signal in the heart. The use of specific inhibitors of ERK1/2 and Akt phosphorylation demonstrated their involvement in phase 2 enzymes induction. The concentration of SF tested in this study is comparable to peak plasma concentration achieved after dietary exposure giving clear relevance to our data to support dietary intake of Cruciferous vegetables in cytoprotection against oxidative stress, a common determinant of many cardiovascular diseases.

NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs

Nuclear Magnetic Resonance (NMR) is a branch of spectroscopy that is based on the fact that many atomic nuclei may be oriented by a strong magnetic field and will absorb radiofrequency radiation at characteristic frequencies. The parameters that can be measured on the resulting spectral lines (line positions, intensities, line widths, multiplicities and transients in time-dependent experi-ments) can be interpreted in terms of molecular structure, conformation, molecular motion and other rate processes. In this way, high resolution (HR) NMR allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging as a powerful exploratory tool for probing biochemical and physical processes. It represents a versatile tool for the analysis of foods. In literature many NMR studies have been reported on different type of food such as wine, olive oil, coffee, fruit juices, milk, meat, egg, starch granules, flour, etc using different NMR techniques. Traditionally, univariate analytical methods have been used to ex-plore spectroscopic data. This method is useful to measure or to se-lect a single descriptive variable from the whole spectrum and , at the end, only this variable is analyzed. This univariate methods ap-proach, applied to HR-NMR data, lead to different problems due especially to the complexity of an NMR spectrum. In fact, the lat-ter is composed of different signals belonging to different mole-cules, but it is also true that the same molecules can be represented by different signals, generally strongly correlated. The univariate methods, in this case, takes in account only one or a few variables, causing a loss of information. Thus, when dealing with complex samples like foodstuff, univariate analysis of spectra data results not enough powerful. Spectra need to be considered in their wholeness and, for analysing them, it must be taken in consideration the whole data matrix: chemometric methods are designed to treat such multivariate data. Multivariate data analysis is used for a number of distinct, differ-ent purposes and the aims can be divided into three main groups: • data description (explorative data structure modelling of any ge-neric n-dimensional data matrix, PCA for example); • regression and prediction (PLS); • classification and prediction of class belongings for new samples (LDA and PLS-DA and ECVA). The aim of this PhD thesis was to verify the possibility of identify-ing and classifying plants or foodstuffs, in different classes, based on the concerted variation in metabolite levels, detected by NMR spectra and using the multivariate data analysis as a tool to inter-pret NMR information. It is important to underline that the results obtained are useful to point out the metabolic consequences of a specific modification on foodstuffs, avoiding the use of a targeted analysis for the different metabolites. The data analysis is performed by applying chemomet-ric multivariate techniques to the NMR dataset of spectra acquired. The research work presented in this thesis is the result of a three years PhD study. This thesis reports the main results obtained from these two main activities: A1) Evaluation of a data pre-processing system in order to mini-mize unwanted sources of variations, due to different instrumental set up, manual spectra processing and to sample preparations arte-facts; A2) Application of multivariate chemiometric models in data analy-sis.

Mathematical models of cognitive processes

The research activity carried out during the PhD course was focused on the development of mathematical models of some cognitive processes and their validation by means of data present in literature, with a double aim: i) to achieve a better interpretation and explanation of the great amount of data obtained on these processes from different methodologies (electrophysiological recordings on animals, neuropsychological, psychophysical and neuroimaging studies in humans), ii) to exploit model predictions and results to guide future research and experiments. In particular, the research activity has been focused on two different projects: 1) the first one concerns the development of neural oscillators networks, in order to investigate the mechanisms of synchronization of the neural oscillatory activity during cognitive processes, such as object recognition, memory, language, attention; 2) the second one concerns the mathematical modelling of multisensory integration processes (e.g. visual-acoustic), which occur in several cortical and subcortical regions (in particular in a subcortical structure named Superior Colliculus (SC)), and which are fundamental for orienting motor and attentive responses to external world stimuli. This activity has been realized in collaboration with the Center for Studies and Researches in Cognitive Neuroscience of the University of Bologna (in Cesena) and the Department of Neurobiology and Anatomy of the Wake Forest University School of Medicine (NC, USA). PART 1. Objects representation in a number of cognitive functions, like perception and recognition, foresees distribute processes in different cortical areas. One of the main neurophysiological question concerns how the correlation between these disparate areas is realized, in order to succeed in grouping together the characteristics of the same object (binding problem) and in maintaining segregated the properties belonging to different objects simultaneously present (segmentation problem). Different theories have been proposed to address these questions (Barlow, 1972). One of the most influential theory is the so called “assembly coding”, postulated by Singer (2003), according to which 1) an object is well described by a few fundamental properties, processing in different and distributed cortical areas; 2) the recognition of the object would be realized by means of the simultaneously activation of the cortical areas representing its different features; 3) groups of properties belonging to different objects would be kept separated in the time domain. In Chapter 1.1 and in Chapter 1.2 we present two neural network models for object recognition, based on the “assembly coding” hypothesis. These models are networks of Wilson-Cowan oscillators which exploit: i) two high-level “Gestalt Rules” (the similarity and previous knowledge rules), to realize the functional link between elements of different cortical areas representing properties of the same object (binding problem); 2) the synchronization of the neural oscillatory activity in the γ-band (30-100Hz), to segregate in time the representations of different objects simultaneously present (segmentation problem). These models are able to recognize and reconstruct multiple simultaneous external objects, even in difficult case (some wrong or lacking features, shared features, superimposed noise). In Chapter 1.3 the previous models are extended to realize a semantic memory, in which sensory-motor representations of objects are linked with words. To this aim, the network, previously developed, devoted to the representation of objects as a collection of sensory-motor features, is reciprocally linked with a second network devoted to the representation of words (lexical network) Synapses linking the two networks are trained via a time-dependent Hebbian rule, during a training period in which individual objects are presented together with the corresponding words. Simulation results demonstrate that, during the retrieval phase, the network can deal with the simultaneous presence of objects (from sensory-motor inputs) and words (from linguistic inputs), can correctly associate objects with words and segment objects even in the presence of incomplete information. Moreover, the network can realize some semantic links among words representing objects with some shared features. These results support the idea that semantic memory can be described as an integrated process, whose content is retrieved by the co-activation of different multimodal regions. In perspective, extended versions of this model may be used to test conceptual theories, and to provide a quantitative assessment of existing data (for instance concerning patients with neural deficits). PART 2. The ability of the brain to integrate information from different sensory channels is fundamental to perception of the external world (Stein et al, 1993). It is well documented that a number of extraprimary areas have neurons capable of such a task; one of the best known of these is the superior colliculus (SC). This midbrain structure receives auditory, visual and somatosensory inputs from different subcortical and cortical areas, and is involved in the control of orientation to external events (Wallace et al, 1993). SC neurons respond to each of these sensory inputs separately, but is also capable of integrating them (Stein et al, 1993) so that the response to the combined multisensory stimuli is greater than that to the individual component stimuli (enhancement). This enhancement is proportionately greater if the modality-specific paired stimuli are weaker (the principle of inverse effectiveness). Several studies have shown that the capability of SC neurons to engage in multisensory integration requires inputs from cortex; primarily the anterior ectosylvian sulcus (AES), but also the rostral lateral suprasylvian sulcus (rLS). If these cortical inputs are deactivated the response of SC neurons to cross-modal stimulation is no different from that evoked by the most effective of its individual component stimuli (Jiang et al 2001). This phenomenon can be better understood through mathematical models. The use of mathematical models and neural networks can place the mass of data that has been accumulated about this phenomenon and its underlying circuitry into a coherent theoretical structure. In Chapter 2.1 a simple neural network model of this structure is presented; this model is able to reproduce a large number of SC behaviours like multisensory enhancement, multisensory and unisensory depression, inverse effectiveness. In Chapter 2.2 this model was improved by incorporating more neurophysiological knowledge about the neural circuitry underlying SC multisensory integration, in order to suggest possible physiological mechanisms through which it is effected. This endeavour was realized in collaboration with Professor B.E. Stein and Doctor B. Rowland during the 6 months-period spent at the Department of Neurobiology and Anatomy of the Wake Forest University School of Medicine (NC, USA), within the Marco Polo Project. The model includes four distinct unisensory areas that are devoted to a topological representation of external stimuli. Two of them represent subregions of the AES (i.e., FAES, an auditory area, and AEV, a visual area) and send descending inputs to the ipsilateral SC; the other two represent subcortical areas (one auditory and one visual) projecting ascending inputs to the same SC. Different competitive mechanisms, realized by means of population of interneurons, are used in the model to reproduce the different behaviour of SC neurons in conditions of cortical activation and deactivation. The model, with a single set of parameters, is able to mimic the behaviour of SC multisensory neurons in response to very different stimulus conditions (multisensory enhancement, inverse effectiveness, within- and cross-modal suppression of spatially disparate stimuli), with cortex functional and cortex deactivated, and with a particular type of membrane receptors (NMDA receptors) active or inhibited. All these results agree with the data reported in Jiang et al. (2001) and in Binns and Salt (1996). The model suggests that non-linearities in neural responses and synaptic (excitatory and inhibitory) connections can explain the fundamental aspects of multisensory integration, and provides a biologically plausible hypothesis about the underlying circuitry.

Ricerca, mediante tecniche di proteomica, di biomarcatori proteici utili nella valutazione della qualità degli alimenti di origine animale

In the last decades, the increase of industrial activities and of the request for the world food requirement, the intensification of natural resources exploitation, directly connected to pollution, have aroused an increasing interest of the public opinion towards initiatives linked to the regulation of food production, as well to the institution of a modern legislation for the consumer guardianship. This work was planned taking into account some important thematics related to marine environment, collecting and showing the data obtained from the studies made on different marine species of commercial interest (Chamelea gallina, Mytilus edulis, Ostrea edulis, Crassostrea gigas, Salmo salar, Gadus morhua). These studies have evaluated the effects of important physic and chemical parameters variations (temperature, xenobiotics like drugs, hydrocarbons and pesticides) on cells involved in the immune defence (haemocytes) and on some important enzymatic systems involved in xenobiotic biotransformation processes (cytochrome P450 complex) and in the related antioxidant defence processes (Superoxide dismutase, Catalase, Heat Shock Protein), from a biochemical and bimolecular point of view. Oxygen is essential in the biological answer of a living organism. Its consume in the normal cellular breathing physiological processes and foreign substances biotransformation, leads to reactive oxygen species (ROS) formation, potentially toxic and responsible of biological macromolecules damages with consequent pathologies worsening. Such processes can bring to a qualitative alteration of the derived products, but also to a general state of suffering that in the most serious cases can provoke the death of the organism, with important repercussions in economic field, in the output of the breedings, of fishing and of aquaculture. In this study it seemed interesting to apply also alternative methodologies currently in use in the medical field (cytofluorimetry) and in proteomic studies (bidimensional electrophoresis, mass spectrometry) with the aim of identify new biomarkers to place beside the traditional methods for the control of the animal origin food quality. From the results it’s possible to point out some relevant aspects from each experiment: 1. The cytofluorimetric techniques applied to O. edulis and C. gigas could bring to important developments in the search of alternative methods that quickly allows to identify with precision the origin of a specific sample, contributing to oppose possible alimentary frauds, in this case for example related to presence of a different species, also under a qualitative profile, but morpholgically similar. A concrete perspective for the application in the inspective field of this method has to be confirmed by further laboratory tests that take also in account in vivo experiments to evaluate the effect in the whole organism of the factors evaluated only on haemocytes in vitro. These elements suggest therefore the possibility to suit the cytofluorimetric methods for the study of animal organisms of food interest, still before these enter the phase of industrial working processes, giving useful information about the possible presence of contaminants sources that can induce an increase of the immune defence and an alteration of normal cellular parameter values. 2. C. gallina immune system has shown an interesting answer to benzo[a]pyrene (B[a]P) exposure, dose and time dependent, with a significant decrease of the expression and of the activity of one of the most important enzymes involved in the antioxidant defence in haemocytes and haemolymph. The data obtained are confirmed by several measurements of physiological parameters, that together with the decrease of the activity of 7-etossi-resourifine-O-deetilase (EROD linked to xenobiotic biotransformation processes) during exposure, underline the major effects of B[a]P action. The identification of basal levels of EROD supports the possible presence of CYP1A subfamily in the invertebrates, still today controversial, never identified previously in C. gallina and never isolated in the immune cells, as confirmed instead in this study with the identification of CYP1A-immunopositive protein (CYP1A-IPP). This protein could reveal a good biomarker at the base of a simple and quick method that could give clear information about specific pollutants presence, even at low concentrations in the environment where usually these organisms are fished before being commercialized. 3. In this experiment it has been evaluated the effect of the antibiotic chloramphenicol (CA) in an important species of commercial interest, Chamelea gallina. Chloramphenicol is a drug still used in some developing countries, also in veterinary field. Controls to evaluate its presence in the alimentary products of animal origin, can reveal ineffective whereas the concentration results to be below the limit of sensitivity of the instruments usually used in this type of analysis. Negative effects of CA towards the CYP1A- IPP proteins, underlined in this work, seem to be due to the attack of free radicals resultant from the action of the antibiotic. This brings to a meaningful alteration of the biotransformation mechanisms through the free radicals. It seems particularly interesting to pay attention to the narrow relationships in C. gallina, between SOD/CAT and CYP450 system, actively involved in detoxification mechanism, especially if compared with the few similar works today present about mollusc, a group that is composed by numerous species that enter in the food field and on which constant controls are necessary to evaluate in a rapid and effective way the presence of possible contaminations. 4. The investigations on fishes (Gadus morhua, and Salmo salar) and on a bivalve mollusc (Mytilus edulis) have allowed to evaluate different aspects related to the possibility to identify a biomarker for the evaluation of the health of organisms of food interest and consequently for the quality of the final product through 2DE methodologies. In the seafood field these techniques are currently used with a discreet success only for vertebrates (fishes), while in the study of the invertebrates (molluscs) there are a lot of difficulties. The results obtained in this work have underline several problems in the correct identification of the isolated proteins in animal organisms of which doesn’t currently exist a complete genomic sequence. This brings to attribute some identities on the base of the comparison with similar proteins in other animal groups, incurring in the possibility to obtain inaccurate data and above all discordant with those obtained on the same animals by other authors. Nevertheless the data obtained in this work after MALDI-ToF analysis, result however objective and the spectra collected could be again analyzed in the future after the update of genomic database related to the species studied. 4-A. The investigation about the presence of HSP70 isoforms directly induced by different phenomena of stress like B[a]P presence, has used bidimensional electrophoresis methods in C. gallina, that have allowed to isolate numerous protein on 2DE gels, allowing the collection of several spots currently in phase of analysis with MALDI-ToF-MS. The present preliminary work has allowed therefore to acquire and to improve important methodologies in the study of cellular parameters and in the proteomic field, that is not only revealed of great potentiality in the application in medical and veterinary field, but also in the field of the inspection of the foods with connections to the toxicology and the environmental pollution. Such study contributes therefore to the search of rapid and new methodologies, that can increase the inspective strategies, integrating themselves with those existing, but improving at the same time the general background of information related to the state of health of the considered animal organism, with the possibility, still hypothetical, to replace in particular cases the employment of the traditional techniques in the alimentary field.

Neuroprotective activity of guanosine in an in vitro model of Alzheimer's disease

The β-Amyloid (βA) peptide is the major component of senile plaques that are one of the hallmarks of Alzheimer’s Disease (AD). It is well recognized that Aβ exists in multiple assembly states, such as soluble oligomers or insoluble fibrils, which affect neuronal viability and may contribute to disease progression. In particular, common βA-neurotoxic mechanisms are Ca2+ dyshomeostasis, reactive oxygen species (ROS) formation, altered signaling, mitochondrial dysfunction and neuronal death such as necrosis and apoptosis. Recent study shows that the ubiquitin-proteasome pathway play a crucial role in the degradation of short-lived and regulatory proteins that are important in a variety of basic and pathological cellular processes including apoptosis. Guanosine (Guo) is a purine nucleoside present extracellularly in brain that shows a spectrum of biological activities, both under physiological and pathological conditions. Recently it has become recognized that both neurons and glia also release guanine-based purines. However, the role of Guo in AD is still not well established. In this study, we investigated the machanism basis of neuroprotective effects of GUO against Aβ peptide-induced toxicity in neuronal (SH-SY5Y), in terms of mitochondrial dysfunction and translocation of phosphatidylserine (PS), a marker of apoptosis, using MTT and Annexin-V assay, respectively. In particular, treatment of SH-SY5Y cells with GUO (12,5-75 μM) in presence of monomeric βA25-35 (neurotoxic core of Aβ), oligomeric and fibrillar βA1-42 peptides showed a strong dose-dependent inhibitory effects on βA-induced toxic events. The maximum inhibition of mitochondrial function loss and PS translocation was observed with 75 μM of Guo. Subsequently, to investigate whether neuroprotection of Guo can be ascribed to its ability to modulate proteasome activity levels, we used lactacystin, a specific inhibitor of proteasome. We found that the antiapoptotic effects of Guo were completely abolished by lactacystin. To rule out the possibility that this effects resulted from an increase in proteasome activity by Guo, the chymotrypsin-like activity was assessed employing the fluorogenic substrate Z-LLL-AMC. The treatment of SH-SY5Y with Guo (75 μM for 0-6 h) induced a strong increase, in a time-dependent manner, of proteasome activity. In parallel, no increase of ubiquitinated protein levels was observed at similar experimental conditions adopted. We then evaluated an involvement of anti and pro-apoptotic proteins such as Bcl-2, Bad and Bax by western blot analysis. Interestingly, Bax levels decreased after 2 h treatment of SH-SY5Y with Guo. Taken together, these results demonstrate that Guo neuroprotective effects against βA-induced apoptosis are mediated, at least partly, via proteasome activation. In particular, these findings suggest a novel neuroprotective pathway mediated by Guo, which involves a rapid degradation of pro-apoptotic proteins by the proteasome. In conclusion, the present data, raise the possibility that Guo could be used as an agent for the treatment of AD.

Analysis of eruptive and seismic sequences to improve the short-and long-term eruption forecasting

Forecasting the time, location, nature, and scale of volcanic eruptions is one of the most urgent aspects of modern applied volcanology. The reliability of probabilistic forecasting procedures is strongly related to the reliability of the input information provided, implying objective criteria for interpreting the historical and monitoring data. For this reason both, detailed analysis of past data and more basic research into the processes of volcanism, are fundamental tasks of a continuous information-gain process; in this way the precursor events of eruptions can be better interpreted in terms of their physical meanings with correlated uncertainties. This should lead to better predictions of the nature of eruptive events. In this work we have studied different problems associated with the long- and short-term eruption forecasting assessment. First, we discuss different approaches for the analysis of the eruptive history of a volcano, most of them generally applied for long-term eruption forecasting purposes; furthermore, we present a model based on the characteristics of a Brownian passage-time process to describe recurrent eruptive activity, and apply it for long-term, time-dependent, eruption forecasting (Chapter 1). Conversely, in an effort to define further monitoring parameters as input data for short-term eruption forecasting in probabilistic models (as for example, the Bayesian Event Tree for eruption forecasting -BET_EF-), we analyze some characteristics of typical seismic activity recorded in active volcanoes; in particular, we use some methodologies that may be applied to analyze long-period (LP) events (Chapter 2) and volcano-tectonic (VT) seismic swarms (Chapter 3); our analysis in general are oriented toward the tracking of phenomena that can provide information about magmatic processes. Finally, we discuss some possible ways to integrate the results presented in Chapters 1 (for long-term EF), 2 and 3 (for short-term EF) in the BET_EF model (Chapter 4).

Duktile Gesteinsdeformation durch zeitabhängige Kataklase

In Gesteinen, die bei schwach- bis mittelgradiger Metamorphose deformiert wurden, sind Mikrostrukturen, wie z.B. undulöse Auslöschung, Subkörner und kristallographische Regelungen, typisch. Sie werden i.a. als das Resultat eines kristallplastischen Deformationsprozesses interpretiert. Das häufige Auftreten dieser Strukturen führte zu der Annahme, daß kristallplastische Deformationsprozesse zu den dominierenden duktilen Deformationsmechanismen während der Erdkrustendeformation gehören.Die vorliegende Arbeit beschäftigt sich mit Experimenten, bei denen die zeitabhängige kata-klastische Deformation polykristalliner, kompaktierter Aggregatproben des sehr gut löslichen, elastisch/spröden Salzes Natriumchlorat (NaClO3) untersucht wurde. Dieses Salz wurde als Analogmaterial gesteinsbildender Minerale wie Quarz und Feldspat ausgewählt. Es wurde nun untersucht, ob und in welcher Weise spröde Deformationsmechanismen in Anwesenheit von Wasser scheinbar kristall-plastische Mikrostrukturen hervorrufen können.Aus den Versuchen ergibt sich nun die Folgerung, daß scheinbar kristallplastisch erzeugte Mikrostrukturen wie Subkörner auch durch spröde zeitunabhängige Risse und subkritische (langsame) Kataklase entstehen können. Diese Erkenntnisse sind wichtig für das rheologische Verhalten der Erdkruste und somit auch für Modellierungen der Erdkrustendeformation. Ihre Betrachtung und Übertragung auf die Deformationsstrukturen der natürlich deformierten kontinentalen, oberkrustalen Gesteine der Erde würde die Interpretation der Mikrostrukturen in diesen Bereichen stark ändern. Dies hätte eine wesentliche Änderung auf den Verlauf der Gesteinsfestigkeitskurven in den Spannungsprofilen der Erdoberkruste zur Folge.

Pinning-Effekte kolumnarer Schwerionenspuren in Kuprat-Supraleiter-Dünnschichten

In this work the flux line dynamics in High-Temperature Superconductor (HTSC) thin films in the presence of columnar defects was studied using electronic transport measurements. The columnar defects which are correlated pinning centers for vortices were generated by irradiation with swift heavy ions at the Gesellschaft für Schwerionenforschung (GSI) in Darmstadt. In the first part, the vortex dynamics is discussed within the framework of the Bose-glass model. This approach describes the continuous transition from a vortex liquid to a Bose-glass phase which is characterized by the localization of the flux lines at the columnar defects. The critical behavior of the characteristic length and time scales for temperatures in the vicinity of this phase transition were probed by scaling properties of experimentally obtained current-voltage characteristics. In contrast to the predicted universal properties of the critical behavior the scaling analysis shows a strong dependence of the dynamic critical exponent on the experimentally accessible electric field range. In addition, the predicted divergence of the activation energy in the limit of low current densities was experimentally not confirmed.The dynamic behavior of flux lines in spatially resolved irradiation geometries is reported in the second part. Weak pinning channels with widths between 10 µm and 100 µm were generated in a strong pinning environment with the use of metal masks and the GSI microprobe, respectively. Measurements of the anisotropic transport properties of these structures show a striking resemblance to the results in YBCO single crystals with unidirected twin boundaries which were interpreted as a guided vortex motion effect. The use of two additional test bridges allowed to determine in parallel the resistivities of the irradiated and unirradiated parts as well as the respective current-voltage characteristics. These measurements provided the input parameters for a numerical simulation of the potential distribution in the spatially resolved irradiation geometry. The results are interpreted within a model that describes the hydrodynamic interaction between a Bose-glass phase and a vortex liquid. The interface between weakly pinned flux lines in the unirradiated channels and strongly pinned vortices leads to a nonuniform vortex velocity profile and therefore a variation of the local electric field. The length scale of these interactions was estimated for the first time in measuring the local variation of the electric field profile in a Bose-glass contact.Finally, a method for the determination of the true temperature in HTSC thin films at high dissipation levels is described. In this regime of electronic transport the occurrence of a flux flow instability is accompanied by heating effects in the vortex system. The heat propagation properties of the film/substrate system are deduced from the time dependent voltage response to a short high current density pulse of rectangular shape. The influence of heavy ion irradiation on the heat resistance at the film/substrate interface is studied.

Analytical challenges in the fields of Nanobioscience and Nanobiotecnology: integrated methods for separation and characterization

Nano(bio)science and nano(bio)technology play a growing and tremendous interest both on academic and industrial aspects. They are undergoing rapid developments on many fronts such as genomics, proteomics, system biology, and medical applications. However, the lack of characterization tools for nano(bio)systems is currently considered as a major limiting factor to the final establishment of nano(bio)technologies. Flow Field-Flow Fractionation (FlFFF) is a separation technique that is definitely emerging in the bioanalytical field, and the number of applications on nano(bio)analytes such as high molar-mass proteins and protein complexes, sub-cellular units, viruses, and functionalized nanoparticles is constantly increasing. This can be ascribed to the intrinsic advantages of FlFFF for the separation of nano(bio)analytes. FlFFF is ideally suited to separate particles over a broad size range (1 nm-1 μm) according to their hydrodynamic radius (rh). The fractionation is carried out in an empty channel by a flow stream of a mobile phase of any composition. For these reasons, fractionation is developed without surface interaction of the analyte with packing or gel media, and there is no stationary phase able to induce mechanical or shear stress on nanosized analytes, which are for these reasons kept in their native state. Characterization of nano(bio)analytes is made possible after fractionation by interfacing the FlFFF system with detection techniques for morphological, optical or mass characterization. For instance, FlFFF coupling with multi-angle light scattering (MALS) detection allows for absolute molecular weight and size determination, and mass spectrometry has made FlFFF enter the field of proteomics. Potentialities of FlFFF couplings with multi-detection systems are discussed in the first section of this dissertation. The second and the third sections are dedicated to new methods that have been developed for the analysis and characterization of different samples of interest in the fields of diagnostics, pharmaceutics, and nanomedicine. The second section focuses on biological samples such as protein complexes and protein aggregates. In particular it focuses on FlFFF methods developed to give new insights into: a) chemical composition and morphological features of blood serum lipoprotein classes, b) time-dependent aggregation pattern of the amyloid protein Aβ1-42, and c) aggregation state of antibody therapeutics in their formulation buffers. The third section is dedicated to the analysis and characterization of structured nanoparticles designed for nanomedicine applications. The discussed results indicate that FlFFF with on-line MALS and fluorescence detection (FD) may become the unparallel methodology for the analysis and characterization of new, structured, fluorescent nanomaterials.

Monte Carlo simulations of Potts glasses

A complete understanding of the glass transition isstill a challenging problem. Some researchers attributeit to the (hypothetical) occurrence of a static phasetransition, others emphasize the dynamical transitionof mode coupling-theory from an ergodic to a non ergodicstate. A class of disordered spin models has been foundwhich unifies both scenarios. One of these models isthe p-state infinite range Potts glass with p>4, whichexhibits in the thermodynamic limit both a dynamicalphase transition at a temperature T_D, and a static oneat T_0 < T_D. In this model every spins interacts withall the others, irrespective of distance. Interactionsare taken from a Gaussian distribution.In order to understand better its behavior forfinite number N of spins and the approach to thethermodynamic limit, we have performed extensive MonteCarlo simulations of the p=10 Potts glass up to N=2560.The time-dependent spin-autocorrelation function C(t)shows strong finite size effects and it does not showa plateau even for temperatures around the dynamicalcritical temperature T_D. We show that the N-andT-dependence of the relaxation time for T > T_D can beunderstood by means of a dynamical finite size scalingAnsatz.The behavior in the spin glass phase down to atemperature T=0.7 (about 60% of the transitiontemperature) is studied. Well equilibratedconfigurations are obtained with the paralleltempering method, which is also useful for properlyestablishing static properties, such as the orderparameter distribution function P(q). Evidence is givenfor the compatibility with a one step replica symmetrybreaking scenario. The study of the cumulants of theorder parameter does not permit a reliable estimation ofthe static transition temperature. The autocorrelationfunction at low T exhibits a two-step decay, and ascaling behavior typical of supercooled liquids, thetime-temperature superposition principle, is observed. Inthis region the dynamics is governed by Arrheniusrelaxations, with barriers growing like N^{1/2}.We analyzed the single spin dynamics down to temperaturesmuch lower than the dynamical transition temperature. We found strong dynamical heterogeneities, which explainthe non-exponential character of the spin autocorrelationfunction. The spins seem to relax according to dynamicalclusters. The model in three dimensions tends to acquireferromagnetic order for equal concentration of ferro-and antiferromagnetic bonds. The ordering has differentcharacteristics from the pure ferromagnet. The spinglass susceptibility behaves like chi_{SG} proportionalto 1/T in the region where a spin glass is predicted toexist in mean-field. Also the analysis of the cumulantsis consistent with the absence of spin glass orderingat finite temperature. The dynamics shows multi-scalerelaxations if a bimodal distribution of bonds isused. We propose to understand it with a model based onthe local spin configuration. This is consistent with theabsence of plateaus if Gaussian interactions are used.

Scherverhalten kolloidaler Lagenphasen in Rohrströmungen

Kolloidale Suspensionen aus identischen kugelförmigen, geladenen Partikeln in wässrigen Medien stellen ein ideales Modellsystem zur Untersuchung des Gleichgewichtsverhaltens, aber auch des Nicht-Gleichgewichtsverhaltens Weicher Materie dar. So bilden derartige Systeme bei hinreichend starker und langreichweitiger elektrostatischer Repulsion fluid und kristallin geordnete Strukturen aus, die wegen der weitreichenden Analogie zu atomar kondensierter Materie als kolloidale Fluide und Kristalle bezeichnet werden. Von großem Vorteil ist dabei die Möglichkeit zur kontrollierten Einstellung der Wechselwirkung und die gute optische Zugänglichkeit für Mikroskopie und Lichtstreuung sowie die Weichheit der Materialien, aufgrund derer sich auch Zustände fernab des mechanischen Gleichgewichts gezielt präparieren lassen. Themenstellung der vorliegenden Arbeit ist die Untersuchung des Phasenverhaltens und der Fließmechanismen kolloidaler Kristalle in einer Rohrströmung. Im ersten Teil der Arbeit wird gezeigt, dass beim Fluss durch eine zylindrische Röhre Mehrphasenkoexistenz auftritt, wobei ein polykristalliner Kern von einer isotropen Scherschmelze umgeben ist. Zusätzlich treten an der Grenze zwischen diesen Phasen und an der Rohrwand Phasen hexagonal geordneter übereinander hinweggleitender Lagen auf. Der Vergleich zwischen auf der Basis der Navier-Stokes-Gleichung theoretisch berechneten und gemessenen Geschwindigkeitsprofilen zeigt, dass jede dieser Phasen für sich Newtonsches Fließverhalten aufweist. Die Gesamtviskosität ist hingegen durch die mit dem Durchsatz veränderliche Phasenzusammensetzung Nicht-Newtonsch. Damit gelang es, die erstmalig von Würth beschriebene Scherverdünnung auf eine Veränderung der Phasenzusammensetzung zurückzuführen. Im zweiten Teil der Arbeit wurde erstmals das Fließverhalten der Lagenphasen mittels Lichtstreuung und Korrelationsanalyse untersucht. Dafür wurde ein im Prinzip einfacher, aber leistungsstarker Aufbau realisiert, der es erlaubt, die zeitliche Veränderung der Bragg-Reflexe der Lagenphase in radialer und azimutaler Richtung zu verfolgen und mittels Fourieranalyse zu analysieren. In Abhängigkeit vom Durchsatz geht die zunächst rastend gleitende Lagenphase in eine frei gleitende Lagenphase über, wobei charakteristische Veränderungen der Spektren sowie der Korrelationsfunktionen auftreten, die detailliert diskutiert werden. Der Übergang im Gleitmechanismus ist mit einem Verlust der Autokorrelation der Rotationskomponente der periodischen Intra-Lagenverzerrung verbunden, während die Kompressionskomponente erhalten bleibt. Bei hohen Durchflüssen lassen die Reflexbewegungen auf das Auftreten einer Eigenschwingung der frei gleitenden Lagen schließen. Diese Schwingung lässt sich als Rotationsbewegung, gekoppelt mit einer transversalen Auslenkung in Vortexrichtung, beschreiben. Die Ergebnisse erlauben eine detaillierte Diskussion von verschiedenen Modellvorstellungen anderer Autoren.

Kalorimetrische Tieftemperaturdetektoren für niederenergetische (E 1 MeV/amu) Schwerionen und ihr erster Einsatz in der Beschleuniger-Massenspektrometrie zur Spurenanalyse von 236 U

Im Rahmen der vorliegenden Arbeit wurden zum ersten Mal kalorimetrische Tieftemperatur-Detektoren in der Beschleuniger-Massenspektrometrie (Accelerator Mass Spectrometry AMS), einer Standard-Methode zur Bestimmung kleinster Isotopenverhältnisse, eingesetzt, um das Isotopenverhältnis von 236U zu 238U zu bestimmen. Das Uran-Isotop 236U entsteht in der Neutroneneinfang-Reaktion 235U(n,gamma)236U und kann daher als Monitor-Nuklid für Neutronenflüsse verwendet werden. Die Detektoren bestehen aus einem Saphir-Absorber, auf den ein supraleitender Aluminium-Film aufgedampft ist, der als Thermistor dient. Ein energetisches Schwerion deponiert seine kinetische Energie als Wärme im Absorber, dessen Temperaturänderung durch die Widerstandsänderung des Supraleiters nachgewiesen wird. Mit solchen Detektoren konnte in vorhergehenden Experimenten bei GSI in einem Energiebereich von E = 5 - 300 MeV/amu für eine Vielzahl von Ionen von Neon bis Uran eine relative Energieauflösung von (1 - 4) E-3 erreicht werden. Der für die Beschleuniger-Massenspektrometrie typische Energiebereich liegt bei E = 0.1 - 1 MeV/amu. Im ersten Schritt wurde daher die systematische Untersuchung der Detektoreigenschaften auf diesen Energiebereich ausgedehnt. Diese Untersuchungen sowie die AMS-Messungen wurden am Tandem-Beschleuniger VERA des Instituts für Isotopenforschung und Kernphysik der Universität Wien durchgeführt. In einem Energiebereich von 10 - 60 MeV konnte für verschiedene Ionen (13C, 197Au, 238U) zunächst eine relative Energieauflösung von DeltaE/E = 7 E-3 erreicht werden. Dies übertrifft die Auflösung konventioneller Ionisations-Detektoren um ca. eine Größenordnung. Durch eine Verbesserung thermischer und elektronischer Rauschbeiträge konnte in einem zweiten Experiment für Uran der Energie 17 MeV die Auflösung auf DeltaE/E = 4.6 E-3 verbessert werden. Die Energie-Response des Detektors war linear über den gesamten beobachteten Energiebereich und unabhängig von der Ionenmasse; bis auf ein Niveau von 0.1 % wurde kein Pulshöhendefekt beobachtet. Diese Ergebnisse zeigen, daß solche Detektoren ein wertvolles Werkzeug in der Schwerionenphysik im Bereich relativ niedriger Ionenenergien darstellen. Mit der erreichten Energieauflösung war es möglich, für mehrere Proben aus natürlichem Uran das Isotopenverhältnis 236U/238U zu bestimmen: Um einen Material-Standard für Uran in der AMS zu etablieren, wurde das Isotopenverhältnis 236U/238U für zwei Proben aus der Mine ''K.u.K. Joachimsthal'' möglichst präzise bestimmt. Die Ergebnisse in der vorliegenden Arbeit stimmen gut mit früheren Messungen überein, die mit einem konventionellen Detektorsystem durchgeführt wurden. Sowohl der statistische als auch der systematische Fehler konnten deutlich reduziert werden. Für eine weitere Probe, extrahiert aus dem Wasser einer Uran-haltigen Quelle in Bad Gastein, wurde ein Isotopenverhältnis von 6.1 E-12 gemessen. Dies stellt das kleinste bislang für 236U/238U gemessene Isotopenverhältnis dar und bedeutet eine Steigerung der Sensitivität um eine Größenordnung. Die erreichte Energieauflösung ermöglicht es außerdem, die Detektoren zur direkten Massenidentifikation von schweren Ionen mittels einer kombinierten Energie-Flugzeit-Messung einzusetzen. In ersten Test-Messungen im Rahmen der vorliegenden Arbeit wurde eine Massenauflösung von DeltaM/M = (8.5 - 11.0) E-3 erreicht. In einem ersten Test für den Einsatz dieser Detektoren zum Nachweis sog. ''superschwerer Elemente (Z >= 112)'' erlaubte der große dynamische Bereich, die Reaktionsprodukte und ihre nachfolgenden Alpha-Zerfälle mit hoher Energieauflösung simultan und zeitaufgelöst nachzuweisen.

Untersuchungen zur Verfestigungskinetik in Suspensionen kolloidaler Partikel

Kolloidale Suspensionen, bei denen man die kolloidalen Teilchen als "Makroatome" in einem Kontinuum aus Lösungsmittelmolekülen auffaßt, stellen ein geeignetes Modellsystem zur Untersuchung von Verfestigungsvorgängen dar. Auf Grund der typischen beteiligten Längen- und Zeitskalen können Phasenübergänge bequem mit optischen Verfahren studiert werden. In der vorliegenden Arbeit wurde die Kinetik der Kristallisation in drei kolloidalen Systemen unterschiedlicher Teilchen-Teilchen-Wechselwirkung mit Lichtstreu- und mikroskopischen Methoden untersucht. Zur Untersuchung von Suspensionen aus sterisch stabilisierten PMMA-Teilchen, die in guter Näherung wie harte Kugeln wechselwirken, wurde ein neuartiges Laserlichtstreuexperiment aufgebaut, das die gleichzeitige Detektion von Bragg- und Kleinwinkelstreuung an einer Probe erlaubt. Damit konnte der zeitliche Verlauf der Kristallisation verfolgt sowie u.a. Nukleationsraten und erstmals auch Wachstumsgeschwindigkeiten bestimmt werden; diese wurden mit klassischer Nukleationstheorie sowie Wilson-Frenkel-Wachstum verglichen. In beiden Fällen konnte sehr gute Übereinstimmung mit der Theorie festgestellt werden. In Systemen geladener Partikel wurden mit Bragg-Mikroskopie die Wachstumsgeschwindigkeiten heterogener, an der Wand der Probenzelle aufwachsender Kristalle untersucht. Die Anpassung eines Wilson-Frenkel-Wachstumsgesetzes gelingt auch hier, wenn man die dazu eingeführte reskalierte Energiedichte auf den Schmelzpunkt bezieht. Geeignete Reskalierung der Daten erlaubt den Vergleich mit den Hartkugelsystemen. Zum ersten Mal wurde die Kristallisationskinetik in zwei verschiedenen kolloidalen binären Mischungen bestimmt und ausgewertet: In Beimischungen einer nichtkristallisierenden Teilchensorte zu einer kristallisierenden Suspension konnten die Daten mit einem modifizierten Wilson-Frenkel-Gesetz beschrieben werden, während in Mischungen aus zwei kristallisierenden Partikelsystemen eine unerwartet hohe Abnahme der Wachstumsgeschwindigkeiten beobachtet wurde. Kolloidale Suspensionen hartkugelähnlicher Mikrogel-Partikel konnten mit Hilfe des Lichtstreuaufbaues ebenfalls zum ersten Mal untersucht werden. Es wurde eine ähnliche Kristallisationskinetik wie in den PMMA-Systemen gefunden, jedoch auch einige wichtige Unterschiede, die insbesondere den Streumechanismus im Kleinwinkelbereich betrafen. Hier wurden verschiedene Interpretationsvorschläge diskutiert.