Synthese und Charakterisierung neuer funktionalisierter Mono- und Bis-tetrahydropyrrolo[3,4-b]carbazole als potentielle DNA-Liganden

Synthese und Charakterisierung neuer funktionalisierter Mono- und Bis-tetrahydro-pyrrolo[3,4-b]carbazole als potentielle DNA-Liganden In der Carbazol-Chemie sollen neue anellierte Verbindungen mit potentieller DNA-Affinität und damit verbundener Antitumoraktivität entwickelt werden. Auf molekularer Ebene sind DNA-Interkalation oder DNA-Rinnenbindung zu erwarten. Darauf aufbauend wurden in Anlehnung an literaturbekannte Cytostatika Mono- und Bis-tetrahydropyrrolo[3,4-b]carbazole synthetisiert, die zur Entwicklung neuer Leitstrukturen bzw. -substanzen beitragen können.In der vorliegenden Arbeit wurde als synthetische Schlüsselreaktion die in unserem Arbeitkreis etablierte Indol-2,3-chinodimethan-Diels-Alder-Reaktion mit geeigneten cyclischen Mono- und Bismaleinimiden als Dienophilen weiterführend genutzt. Auf Grund des Aufbaus von künftigen Struktur-Wirkungsbeziehungen wurden variable Linker zwischen die beiden zu verbindenden Pyrrolotetrahydrocarbazole eingeführt. Diese waren aliphatischer und diamidischer Natur. Diamidische Strukturelemente wurden im Hinblick auf die Entwicklung neuer Peptidomimetika eingeführt. Deren Synthese gelang zum einen über die gemischte Säureanhydrid-Methode und zum anderen über die Azolid-Methode. Die Struktursicherung der als Cycloaddukte erhaltenen Tetrahydrocarbazole erfolgte mittels Standardverfahren (1D-, 2D-NMR-, IR-Spektroskopie und Massenspektrometrie).Enantiomere bzw. Diastereomere chiraler Wirkstoffe unterscheiden sich stark in ihren pharmakologischen Eigenschaften, deshalb müssen Verfahren entwickelt werden, um diese Substanzen gegebenenfalls auch in enantiomerenreiner Form darstellen zu können. Die Racemate der Monotetrahydrocarbazole und die Racemate sowie die dazu diastereomeren meso-Formen der Bistetrahydrocarbazole, die bei der Reaktion entstehen, konnten erstmals mittels chiraler HPLC analytisch getrennt werden.In einer der Synthese ergänzten theoretischen Studie wurde Computer-Molecular-Modelling zur Problematik der Diels-Alder-Reaktion durchgeführt, außerdem wurden kraftfeld-mechanische Berechnungen zur Konformationsanalyse der 'einfachen' Monotetrahydro-carbazole herangezogen und darauf aufbauend schließlich einfache DNA-Docking-Experimente zur ersten Abschätzung des DNA-Binde-Verhaltens der synthetisierten Verbindungen vorgenommen.

DNA-Array-Technologie

Es wurde ein genomischer DNA-Array der Modellpflanze Arabidopsis thaliana mit einer 13.800 EST-Klone umfassenden cDNA-Bibliothek entwickelt und in der Genexpressionsanalyse der pflanzlichen Pathogenabwehr eingesetzt. Mittels PCR-Amplifikation sind 13.000 PCR-Produkte der cDNA-Fragmente hergestellt worden, mit denen 66 genomische Arabidopsis-Arrays auf Nylon und Polypropylen als Trägermaterial hergestellt werden konnten. Die Validierung mit Fluoreszenz- und Radiaktivhybridisierung sowie der Vergleich von drei Normalisierungsmethoden führte zu reproduzierbaren Ergebnissen bei hohem Korrelationskoeffizienten. Die etablierte DNA-Array-Technologie wurde zur Genexpressionsanalyse der pathogeninduzierten Abwehrmechanismen der Pflanze Arabidopsis thaliana in den ersten 24 Stunden nach Infektion mit dem avirulenten Bakterium Pseudomonas syringae pv. tomato eingesetzt. In einer Auswahl von 75 Genen der Stoffwechselwege Glycolyse, Citrat-Cyclus, Pentosephosphat-Cyclus und Glyoxylatmetabolismus konnte für 25 % der Gene, im Shikimat-, Tryptophan- und Phenylpropanoidsyntheseweg für 60 % der Gene eine erhöhte Transkriptionsrate nachgewiesen werden. Die Ergebnisse dieser Arbeit stimmen mit experimentellen Daten verschiedener unabhängiger Studien zur pflanzlichen Pathogenantwort überein. Darüberhinaus sind erstmals Transkriptionsprofile von bisher auf Transkriptionsebene nicht untersuchten Genen erstellt worden. Diese Ergebnisse bestätigen die transkriptionelle Aktivierung ganzer Stoffwechselwege und gewähren erstmals einen Einblick in die koordinierte differentielle Transkription ganzer Stoffwechselwege während der Pathogenabwehr.

Real time monitoring of DNA hybridization and replication using optical and acoustic biosensors

Während in den letzten Jahren zahlreiche Biosensoren zum spezifischen Nachweis von DNA entwickelt wurden, ist die Anwendung oberflächen-sensitiver Methoden auf enzymatische Reaktionen ein vergleichsweise neues Forschungsgebiet. Trotz der hohen Empfindlichkeit und der Möglichkeit zur Echtzeit-Beobachtung molekularer Prozesse, ist die Anwendung dieser Methoden nicht etabliert, da die Enzymaktivität durch die Nähe zur Oberfläche beeinträchtigt sein kann. Im Rahmen dieser Arbeit wurde die enzymatische Verlängerung immobilisierter DNA durch eine DNA Polymerase mit Hilfe von Oberflächenplasmonen-Fluoreszenzspektroskopie (SPFS) und einer Quarzkristall-Mikrowaage (QCM) untersucht. Die Synthese von DNA wurde im Fall der QCM als Massenzuwachs detektiert, der sich im Abfall der Resonanzfrequenz des Schwingquarzes und einem Anstieg seiner Dissipationsenergie ausdrückte. Die viskoelastischen Eigenschaften der DNA-Schichten wurden bestimmt, indem die erhaltenen Daten mit einem auf Voigt basierenden Modell ausgewertet wurden. SPFS nutzt das evaneszente elektromagnetische Feld, das mit Oberflächenplasmonen einhergeht, zur oberflächen-sensitiven Anregung von Chromophoren. Auf diese Weise wurde der Einbau von Farbstoff-markierten Nukleotiden in die entstehende DNA-Sequenz als Indikator für das Voranschreiten der Reaktion ausgenutzt. Beide Meßtechniken konnten erfolgreich zum Nachweis der DNA-Synthese herangezogen werden, wobei die katalytische Aktivität des Enzyms vergleichbar zu der in Lösung gemessenen war.

Bioinformatic methods in applied genomic research

Here I will focus on three main topics that best address and include the projects I have been working in during my three year PhD period that I have spent in different research laboratories addressing both computationally and practically important problems all related to modern molecular genomics. The first topic is the use of livestock species (pigs) as a model of obesity, a complex human dysfunction. My efforts here concern the detection and annotation of Single Nucleotide Polymorphisms. I developed a pipeline for mining human and porcine sequences. Starting from a set of human genes related with obesity the platform returns a list of annotated porcine SNPs extracted from a new set of potential obesity-genes. 565 of these SNPs were analyzed on an Illumina chip to test the involvement in obesity on a population composed by more than 500 pigs. Results will be discussed. All the computational analysis and experiments were done in collaboration with the Biocomputing group and Dr.Luca Fontanesi, respectively, under the direction of prof. Rita Casadio at the Bologna University, Italy. The second topic concerns developing a methodology, based on Factor Analysis, to simultaneously mine information from different levels of biological organization. With specific test cases we develop models of the complexity of the mRNA-miRNA molecular interaction in brain tumors measured indirectly by microarray and quantitative PCR. This work was done under the supervision of Prof. Christine Nardini, at the “CAS-MPG Partner Institute for Computational Biology” of Shangai, China (co-founded by the Max Planck Society and the Chinese Academy of Sciences jointly) The third topic concerns the development of a new method to overcome the variety of PCR technologies routinely adopted to characterize unknown flanking DNA regions of a viral integration locus of the human genome after clinical gene therapy. This new method is entirely based on next generation sequencing and it reduces the time required to detect insertion sites, decreasing the complexity of the procedure. This work was done in collaboration with the group of Dr. Manfred Schmidt at the Nationales Centrum für Tumorerkrankungen (Heidelberg, Germany) supervised by Dr. Annette Deichmann and Dr. Ali Nowrouzi. Furthermore I add as an Appendix the description of a R package for gene network reconstruction that I helped to develop for scientific usage (http://www.bioconductor.org/help/bioc-views/release/bioc/html/BUS.html).

Kinetic and affinity analysis of hybridization reactions between PNA probes and DNA targets using surface plasmon field-enhanced fluorescence spectroscopy (SPFS)

Sequenz spezifische biomolekulare Analyseverfahren erweisen sich gerade im Hinblick auf das Humane Genom Projekt als äußerst nützlich in der Detektion von einzelnen Nukleotid Polymorphismen (SNPs) und zur Identifizierung von Genen. Auf Grund der hohen Anzahl von Basenpaaren, die zu analysieren sind, werden sensitive und effiziente Rastermethoden benötigt, welche dazu fähig sind, DNA-Proben in einer geeigneten Art und Weise zu bearbeiten. Die meisten Detektionsarten berücksichtigen die Interaktion einer verankerten Probe und des korrespondierenden Targets mit den Oberflächen. Die Analyse des kinetischen Verhaltens der Oligonukleotide auf der Sensoroberfläche ist infolgedessen von höchster Wichtigkeit für die Verbesserung bereits bekannter Detektions - Schemata. In letzter Zeit wurde die Oberflächen Plasmonen feld-verstärkte Fluoreszenz Spektroskopie (SPFS) entwickelt. Sie stellt eine kinetische Analyse - und Detektions - Methode dar, die mit doppelter Aufzeichnung, d.h. der Änderung der Reflektivität und des Fluoreszenzsignals, für das Interphasen Phänomen operiert. Durch die Verwendung von SPFS können Kinetikmessungen für die Hybridisierung zwischen Peptid Nukleinsäure (PNA), welche eine synthetisierte Nukleinsäure DNA imitiert und eine stabilere Doppelhelix formt, und DNA auf der Sensoroberfläche ausgeführt werden. Mittels einzel-, umfassend-, und titrations- Experimenten sowohl mit einer komplementär zusammenpassenden Sequenz als auch einer mismatch Sequenz können basierend auf dem Langmuir Modell die Geschwindigkeitskonstanten für die Bindungsreaktion des oligomer DNA Targets bzw. des PCR Targets zur PNA ermittelt werden. Darüber hinaus wurden die Einflüsse der Ionenstärke und der Temperatur für die PNA/DNA Hybridisierung in einer kinetischen Analyse aufgezeigt.

Molecular phylogeography of the Woodland Ringlet (Erebia medusa [Denis and Schiffermüller] 1775) in Europe

Phylogeography is a recent field of biological research that links phylogenetics to biogeography through deciphering the imprint that evolutionary history has left on the genetic structure of extant populations. During the cold phases of the successive ice ages, which drastically shaped species’ distributions since the Pliocene, populations of numerous species were isolated in refugia where many of them evolved into different genetic lineages. My dissertation deals with the phylogeography of the Woodland Ringlet (Erebia medusa [Denis and Schiffermüller] 1775) in Central and Eastern Europe. This Palaearctic butterfly species is currently distributed from central France and south eastern Belgium over large parts of Central Europe and southern Siberia to the Pacific. It is absent from those parts of Europe with mediterranean, oceanic and boreal climates. It was supposed to be a Siberian faunal element with a rather homogeneous population structure in Central Europe due to its postglacial expansion out of a single eastern refugium. An already existing evolutionary scenario for the Woodland Ringlet in Central and Eastern Europe is based on nuclear data (allozymes). To know if this is corroborated by organelle evolutionary history, I sequenced two mitochondrial markers (part of the cytochrome oxydase subunit one and the control region) for populations sampled over the same area. Phylogeography largely relies on the construction of networks of uniparentally inherited haplotypes that are compared to geographic haplotype distribution thanks to recent developed methods such as nested clade phylogeographic analysis (NCPA). Several ring-shaped ambiguities (loops) emerged from both haplotype networks in E. medusa. They can be attributed to recombination and homoplasy. Such loops usually avert the straightforward extraction of the phylogeographic signal contained in a gene tree. I developed several new approaches to extract phylogeographic information in the presence of loops, considering either homoplasy or recombination. This allowed me to deduce a consistent evolutionary history for the species from the mitochondrial data and also adds plausibility for the occurrence of recombination in E. medusa mitochondria. Despite the fact that the control region is assumed to have a lack of resolving power in other species, I found a considerable genetic variation of this marker in E. medusa which makes it a useful tool for phylogeographic studies. In combination with the allozyme data, the mitochondrial genome supports the following phylogeographic scenario for E. medusa in Europe: (i) a first vicariance, due to the onset of the Würm glaciation, led to the formation of several major lineages, and is mirrored in the NCPA by restricted gene flow, (ii) later on further vicariances led to the formation of two sub-lineages in the Western lineage and two sub-lineages in the Eastern lineage during the Last Glacial Maximum or Older Dryas; additionally the NCPA supports a restriction of gene flow with isolation by distance, (iii) finally, vicariance resulted in two secondary sub-lineages in the area of Germany and, maybe, to two other secondary sub-lineages in the Czech Republic. The last postglacial warming was accompanied by strong range expansions in most of the genetic lineages. The scenario expected for a presumably Siberian faunal element such as E. medusa is a continuous loss of genetic diversity during postglacial westward expansion. Hence, the pattern found in this thesis contradicts a typical Siberian origin of E. medusa. In contrast, it corroboratess the importance of multiple extra-Mediterranean refugia for European fauna as it was recently assumed for other continental species.

Statistical mechanics of protein complexed and condensed DNA

In this thesis I treat various biophysical questions arising in the context of complexed / ”protein-packed” DNA and DNA in confined geometries (like in viruses or toroidal DNA condensates). Using diverse theoretical methods I consider the statistical mechanics as well as the dynamics of DNA under these conditions. In the first part of the thesis (chapter 2) I derive for the first time the single molecule ”equation of state”, i.e. the force-extension relation of a looped DNA (Eq. 2.94) by using the path integral formalism. Generalizing these results I show that the presence of elastic substructures like loops or deflections caused by anchoring boundary conditions (e.g. at the AFM tip or the mica substrate) gives rise to a significant renormalization of the apparent persistence length as extracted from single molecule experiments (Eqs. 2.39 and 2.98). As I show the experimentally observed apparent persistence length reduction by a factor of 10 or more is naturally explained by this theory. In chapter 3 I theoretically consider the thermal motion of nucleosomes along a DNA template. After an extensive analysis of available experimental data and theoretical modelling of two possible mechanisms I conclude that the ”corkscrew-motion” mechanism most consistently explains this biologically important process. In chapter 4 I demonstrate that DNA-spools (architectures in which DNA circumferentially winds on a cylindrical surface, or onto itself) show a remarkable ”kinetic inertness” that protects them from tension-induced disruption on experimentally and biologically relevant timescales (cf. Fig. 4.1 and Eq. 4.18). I show that the underlying model establishes a connection between the seemingly unrelated and previously unexplained force peaks in single molecule nucleosome and DNA-toroid stretching experiments. Finally in chapter 5 I show that toroidally confined DNA (found in viruses, DNAcondensates or sperm chromatin) undergoes a transition to a twisted, highly entangled state provided that the aspect ratio of the underlying torus crosses a certain critical value (cf. Eq. 5.6 and the phase diagram in Fig. 5.4). The presented mechanism could rationalize several experimental mysteries, ranging from entangled and supercoiled toroids released from virus capsids to the unexpectedly short cholesteric pitch in the (toroidaly wound) sperm chromatin. I propose that the ”topological encapsulation” resulting from our model may have some practical implications for the gene-therapeutic DNA delivery process.

Design, Synthese und biochemische/biologische Evaluierung bioisosterer Oligopyrrolcarboxamide mit aliphatisch-amidisch verknüpften DNA-Interkalatoren

Die DNA stellt aufgrund der genetischen Krankheitsursache nach wie vor ein überaus attraktives Target für das Design antitumoraktiver Zytostatika dar. Ein wesentlicher Schwerpunkt der heutigen Forschung besteht vor allem in der Entwicklung niedermolekularer, sequenzspezifischer DNA-Liganden zur gezielten Ausschaltung defekter Gene. Im Rahmen dieser Arbeit erfolgte daher in Anlehnung an die antitumoral wirksame Leitsubstanz Netropsin - ein AT-selektiver Minor Groove Binder mit Bispyrrolcarboxamid-Grundstruktur - erstmals der systematische Aufbau einer neuen Serie bioisosterer Hybridmoleküle, bestehend aus einem interkalierenden Strukturelement (Acridon, Naphthalimid, 5-Nitronaphthalimid, Anthrachinon, 11H-Pyrido[2,3-a]carbazol) und Thiophenpyrrol-, Imidazolpyrrol-, Thiazolpyrrol- bzw. Bisimidazolcarboxamid als rinnenbindende Oligoamid-Einheit (sog. Combilexine). Die chromophoren Systeme am N-Terminus wurden hierbei über aliphatische Linker variabler Kettenlänge mit der Carboxamid-Kette verknüpft. Als C-terminale Funktion kam sowohl die N,N-Dimethyl-1,3-diaminopropan- als auch die um ein C-Atom kürzere Dimethylaminoethylamin-Seitenkette zum Einsatz. Unter Verwendung modernster Reagenzien aus der Peptidkupplungschemie ist es gelungen, ein präparativ gut zugängliches, reproduzierbares Verfahren zur Synthese dieser bioisosteren Combilexine zu entwickeln. Anhand biophysikalischer/biochemischer, zellbiologischer und physikochemischer (1H-NMR-spektroskopischer und röntgenstrukturanalytischer) Methoden sowie Molecular Modelling Studien wurden erstmals bezüglich der DNA-Bindung, der Topoisomerase-Hemmung und der Antitumor-Zellzytotoxizität in einem breiten Rahmen vororientierende Struktur-Wirkungsbeziehungen an bioisosteren Liganden erstellt. Wenngleich zwischen den in vitro und in silico ermittelten Befunden keine konkreten Gesetzmäßigkeiten zu erkennen waren, so ließ die Summation der Ergebnisse dennoch darauf schließen, dass es sich bei den Naphthalimidpropion- und Acridonbuttersäure-Derivaten mit C-terminaler Propylendiamin-Funktion um die aussichtsreichsten Kandidaten in Bezug auf die DNA-Affinität bzw. Zytotoxizität handelte.

Development of Original Analytical Methods for the Determination of Drugs of Abuse in Biological Samples

Drug abuse is a major global problem which has a strong impact not only on the single individual but also on the entire society. Among the different strategies that can be used to address this issue an important role is played by identification of abusers and proper medical treatment. This kind of therapy should be carefully monitored in order to discourage improper use of the medication and to tailor the dose according to the specific needs of the patient. Hence, reliable analytical methods are needed to reveal drug intake and to support physicians in the pharmacological management of drug dependence. In the present Ph.D. thesis original analytical methods for the determination of drugs with a potential for abuse and of substances used in the pharmacological treatment of drug addiction are presented. In particular, the work has been focused on the analysis of ketamine, naloxone and long-acting opioids (buprenorphine and methadone), oxycodone, disulfiram and bupropion in human plasma and in dried blood spots. The developed methods are based on the use of high performance liquid chromatography (HPLC) coupled to various kinds of detectors (mass spectrometer, coulometric detector, diode array detector). For biological sample pre-treatment different techniques have been exploited, namely solid phase extraction and microextraction by packed sorbent. All the presented methods have been validated according to official guidelines with good results and some of these have been successfully applied to the therapeutic drug monitoring of patients under treatment for drug abuse.

Content extraction: Identifying the main content in HTML documents

Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This thesis gives an extensive overview of existing algorithms from both areas. It contributes an objective way to measure and evaluate the performance of content extraction algorithms under different aspects. These evaluation measures allow to draw the first objective comparison of existing extraction solutions. The newly introduced content code blurring algorithm overcomes several drawbacks of previous approaches and proves to be the best content extraction algorithm at the moment. An analysis of methods to cluster web documents according to their underlying templates is the third major contribution of this thesis. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection algorithms. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms.

DNA hybrid materials consisting of oligonucleotides and organic molecules: synthesis, characterization and applications

The goal of this thesis was to increase the functionality of pristine DNA scaffolds by functionalizing them with fluorescent dyes and hydrophobic moieties. Two important steps were necessary to realize this aim successfully. First, nucleic acids needed to be synthesized making use of multidisciplinary toolbox for the generation and manipulation of polynucleic acids. The most important techniques were the solid phase synthesis involving the incorporation of standard and modified phosphoramidite building blocks as well as molecular biology procedures like the polymerase chain reaction, the bacterial amplification of plasmids and the enzymatic digestion of circular vectors. Second, and evenly important, was the characterization of the novel bioorganic hybrid structures by a multitude of techniques, especially optical measurements. For studying DNA-dye conjugates methods like UV/Vis and photoluminescence spectroscopy as well as time resolved luminescence spectroscopy were utilized. While these measurements characterized the bulk behavior of an ensemble of DNA-dye hybrids it was necessary for a complete understanding of the systems to look at single structures. This was done by single-molecule fluorescence spectroscopy and fluorescence correlation spectroscopy. For complete analysis the optical experiments were complemented by direct visualization techniques, i.e. high resolution transmission electron microscopy and scanning force microscopy.

Local Trigonometric Methods for Time Series Smoothing.

The thesis is concerned with local trigonometric regression methods. The aim was to develop a method for extraction of cyclical components in time series. The main results of the thesis are the following. First, a generalization of the filter proposed by Christiano and Fitzgerald is furnished for the smoothing of ARIMA(p,d,q) process. Second, a local trigonometric filter is built, with its statistical properties. Third, they are discussed the convergence properties of trigonometric estimators, and the problem of choosing the order of the model. A large scale simulation experiment has been designed in order to assess the performance of the proposed models and methods. The results show that local trigonometric regression may be a useful tool for periodic time series analysis.

Knowledge Patterns for the Web: extraction, tranformation and reuse

This thesis aims at investigating methods and software architectures for discovering what are the typical and frequently occurring structures used for organizing knowledge in the Web. We identify these structures as Knowledge Patterns (KPs). KP discovery needs to address two main research problems: the heterogeneity of sources, formats and semantics in the Web (i.e., the knowledge soup problem) and the difficulty to draw relevant boundary around data that allows to capture the meaningful knowledge with respect to a certain context (i.e., the knowledge boundary problem). Hence, we introduce two methods that provide different solutions to these two problems by tackling KP discovery from two different perspectives: (i) the transformation of KP-like artifacts to KPs formalized as OWL2 ontologies; (ii) the bottom-up extraction of KPs by analyzing how data are organized in Linked Data. The two methods address the knowledge soup and boundary problems in different ways. The first method provides a solution to the two aforementioned problems that is based on a purely syntactic transformation step of the original source to RDF followed by a refactoring step whose aim is to add semantics to RDF by select meaningful RDF triples. The second method allows to draw boundaries around RDF in Linked Data by analyzing type paths. A type path is a possible route through an RDF that takes into account the types associated to the nodes of a path. Then we present K~ore, a software architecture conceived to be the basis for developing KP discovery systems and designed according to two software architectural styles, i.e, the Component-based and REST. Finally we provide an example of reuse of KP based on Aemoo, an exploratory search tool which exploits KPs for performing entity summarization.

Secondary Microseisms Characterization and Green’s Function Extraction at the Larderello-Travale Geothermal Field (Italy)

Over the past ten years, the cross-correlation of long-time series of ambient seismic noise (ASN) has been widely adopted to extract the surface-wave part of the Green’s Functions (GF). This stochastic procedure relies on the assumption that ASN wave-field is diffuse and stationary. At frequencies <1Hz, the ASN is mainly composed by surface-waves, whose origin is attributed to the sea-wave climate. Consequently, marked directional properties may be observed, which call for accurate investigation about location and temporal evolution of the ASN-sources before attempting any GF retrieval. Within this general context, this thesis is aimed at a thorough investigation about feasibility and robustness of the noise-based methods toward the imaging of complex geological structures at the local (∼10-50km) scale. The study focused on the analysis of an extended (11 months) seismological data set collected at the Larderello-Travale geothermal field (Italy), an area for which the underground geological structures are well-constrained thanks to decades of geothermal exploration. Focusing on the secondary microseism band (SM;f>0.1Hz), I first investigate the spectral features and the kinematic properties of the noise wavefield using beamforming analysis, highlighting a marked variability with time and frequency. For the 0.1-0.3Hz frequency band and during Spring- Summer-time, the SMs waves propagate with high apparent velocities and from well-defined directions, likely associated with ocean-storms in the south- ern hemisphere. Conversely, at frequencies >0.3Hz the distribution of back- azimuths is more scattered, thus indicating that this frequency-band is the most appropriate for the application of stochastic techniques. For this latter frequency interval, I tested two correlation-based methods, acting in the time (NCF) and frequency (modified-SPAC) domains, respectively yielding esti- mates of the group- and phase-velocity dispersions. Velocity data provided by the two methods are markedly discordant; comparison with independent geological and geophysical constraints suggests that NCF results are more robust and reliable.

Original analytical methods for the determination of psychoactive compounds in complex matrices

This thesis work aims to develop original analytical methods for the determination of drugs with a potential for abuse, for the analysis of substances used in the pharmacological treatment of drug addiction in biological samples and for the monitoring of potentially toxic compounds added to street drugs. In fact reliable analytical techniques can play an important role in this setting. They can be employed to reveal drug intake, allowing the identification of drug users and to assess drug blood levels, assisting physicians in the management of the treatment. Pharmacological therapy needs to be carefully monitored indeed in order to optimize the dose scheduling according to the specific needs of the patient and to discourage improper use of the medication. In particular, different methods have been developed for the detection of gamma-hydroxybutiric acid (GHB), prescribed for the treatment of alcohol addiction, of glucocorticoids, one of the most abused pharmaceutical class to enhance sport performance and of adulterants, pharmacologically active compounds added to illicit drugs for recreational purposes. All the presented methods are based on capillary electrophoresis (CE) and high performance liquid chromatography (HPLC) coupled to various detectors (diode array detector, mass spectrometer). Biological samples pre-treatment was carried out using different extraction techniques, liquid-liquid extraction (LLE) and solid phase extraction (SPE). Different matrices have been considered: human plasma, dried blood spots, human urine, simulated street drugs. These developed analytical methods are individually described and discussed in this thesis work.