Traditional solution and solid state approaches (Nuclear Magnetic Resonance, X-Ray Crystallography) are methods of choice when analysing both biological and inorganic analytes. However, the characterisation of transient species, often encountered in self-assembling systems, is difficult. Such systems rarely produce crystals of high quality and due to their dynamic nature; their structures are difficult to study with NMR. Hyphenated gas phase methods which rely on mass spectrometry detection offer simultaneous structural analysis and direct stoichiometry measurement. As a consequence, it is possible to investigate specific, non-interacting molecules and molecular complexes in an isolated environment. This thesis focuses on the development and applications of two such methods - ion mobility mass spectrometry (IM-MS) and cold ion spectroscopy. IM-MS measurements yield a so called collisional cross sectional area (CCS). This parameter can be pictured as a rotationally averaged, shadow projection of a molecule structure. When correlated with the ion abundance, a CCS distribution yields intuitively interpretable information about the conformational preferences of an isolated molecule. Although indispensable in describing a "global" geometrical structure, the CCS parameter itself provides a limited insight into the local structural features of the assembly. Ion spectroscopy, both in the UV and IR regions, can provide an extra layer of highly descriptive information. Here, we present several cases where the above techniques have been applied. With the aid of IM-MS, we have analysed the geometry of inorganic supramolecular assemblies, highlighting the stability of particular metal-ligand interactions. Using cold ion spectroscopy, we have assessed the fine structural information of self-assembled oligomers of an amyloidogenic peptide. We correlated spectral features of isolated oligomers to features observed in the mature fibrils; therefore attempting to delineate the events in early stages of amyloidogenic aggregation. A major part of this report focusses on technological aspects of the design and development of a high resolution, variable temperature ion mobility mass spectrometer (VT-IM-MS). The thermal stability of molecules is a vital aspect in industrial process development and formulation science. Solution phase Differential Scanning Calorimetry (DSC) is a widely applied technique, allowing to monitor reversibility of thermally induced conformational transitions, a key aspect in protein folding analysis. The instrument reported here aims to provide parallel information about gaseous ions, with a particular focus on protein ions. Capabilities of the newly built instrument have been tested using small, rigid molecules, a small protein and a large multiprotein complex.

A cryogenic (325-80 K) ion mobility-mass spectrometer was designed and constructed in order to improve the analytical figures-of-merit for the chemical analysis of small mass analytes using ion mobility-mass spectrometry. The instrument incorporates an electron ionization source, a quadrupole mass spectrometer, a uniform field drift cell spectrometer encased in a cryogenic envelope, and an orthogonal geometry time-of-flight mass spectrometer. The analytical benefits of low temperature ion mobility are discussed in terms of enhanced separation ability, ion selectivity and sensitivity. The distinction between resolving power and resolution for ion mobility is also discussed. Detailed experimental designs and rationales are provided for each instrument component. Tuning and calibration data and methods are also provided for the technique. Proof-of-concept experiments for an array of analytes including rare gases (argon, krypton, xenon), hydrocarbons (acetone, ethylene glycol, methanol), and halides (carbon tetrachloride) are provided in order to demonstrate the advantages and limitations of the instrument for obtaining analytically useful information. Trendline partitioning of small analyte ions based on chemical composition is demonstrated as a novel chemical analysis method. The utility of mobility-mass analysis for mass selected ions is also demonstrated, particularly for probing the ion chemistry which occurs in the drift tube for small mass ions. As a final demonstration of the separation abilities of the instrument, the electronic states of chromium and titanium (ground and excited) are separated with low temperature. The transition metal electronic state separations demonstrated here are at the highest resolution ever obtained for ion mobility methods. The electronic conformational mass isomers of methanol (conventional and distonic) are also partially separated at low temperature. Various drift gases (helium, neon, and argon) are explored for the methanol system in order to probe stronger ion-neutral interaction potentials and effectuate higher resolution separations of the two isomeric ions. Finally, two versatile ion source designs and a method for axially focusing ions at low pressure (1-10 torr) using electrostatic fields is presented along with some preliminary work on the ion sources.

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No description available.

Ce travail présente la synthèse, la caractérisation et l’utilisation (transfert électronique photo-induit) de foldamères de taille nanométriques constitués d’unité quinolines. Grâce a une stratégie de synthèse de doublement de segment une grande variété d’oligomères (jusqu’à 96 unités) ont pu être préparé à partir du synthon 8 aminoquinoline-2-carboxylate.Leurs propriétés dynamiques de ces objets ont été étudiées en solution et en phase gazeuse. La spectrométrie de masse de mobilité ionique a permis de déterminer leur conformation en phase gazeuse. Les expériences de RMN DOSY et d’anisotropie de Fluorescence ont permis de déterminer leurs propriétés de diffusion (transrationnelle et rotationnelle). Ces résultats ont révélés qui ces foldamères sont rigides et que leur architecture hélicoïdale est conservée.Le transport électronique photo-induit à travers ces foldamères de taille nanométrique ont été étudié et le mécanisme de transfert ainsi que son efficacité ont été déterminé pour une série de composés de tailles variables. / Herein, synthesis, characterization and application (photoinduced electron transport) of nanosized quinoline-based foldamers have been explored. With double segment strategy, a variety of helical nanosized foldamers (up to 96 quinoline units) were successfully prepared based on 8-aminoquinoline-2-carboxylic acid monomer.The dynamic properties in gas phase and solution were investigated. Ion mobility mass spectrometry afforded access to the conformation state of foldamers ingas phase; DOSY and fluorescence anisotropy assessed the diffusion (translational and rotational, respectively) of foldamers in solution. All of these techniques revealed that quinoline-based foldamers are rigid and that helical conformation is conserved. Photoinduced electron transport through nanosized foldamer was also studied and the mechanism and the transport ratios were revealed.

<p>  </p> <p>Atmospheric aerosols formed through primary emissions, secondary gas-particle formations, and multi-phase chemical processes are composed of solid, semi-solid, or liquid-like particles suspended in the air that have direct implications towards the global radiative balance and human health as air pollutants.  Direct emissions of primary organic aerosols (POA; e.g. soot, BrC) and multi-phase formation of secondary organic aerosols (SOA) from the oxidation of biogenic monoterpene isomers represent two important sources/classes of particulate matter in the atmosphere. Multi-phase chemical processes driving the atmospheric and environmental aging through the photochemistry of iron(III), FeIII in organic aerosol particles and aqueous media drives the multiphase chemistry leading to systematic aging of their chemical composition and modifications to resulting light-absorption properties. The molecular composition, organic structures, physical properties, and sources of emissions are complex requiring development of powerful multi-modal analytical metrology, such as high-resolution mass spectrometry (HRMS) hyphenated with liquid chromatography (LC), photodiode array optical detection, drift tube ion mobility (IM) spectrometry, and desorption and ambient ionization of multi-components mixtures in atmospheric particles using temperature programmed desorption Direct analysis in real time (TPD-DART). Disseminating the molecular-specific composition, chemical and physical properties of complex mixtures in atmospheric organic particles and mixed inorganic/organic systems will help improve our understanding of their formation mechanisms, transformative chemical ageing processes, as well as improved detection of individual components in complex mixtures. </p> <p>     </p> <p>Chapter 1 and 2 of dissertation introduces complexity of atmospheric organic, carbonaceous aerosols, and complex environmental mixtures and discusses analytical metrology, experiments, and data analysis procedures used for detailed molecular-level characterization of mixtures. Chapter 3 the development of a robust analytical method for untargeted screening and determination of the physical and chemical properties (e.g. vapor pressures, enthalpies of sublimation, and saturation mass concentrations) of single components out of complex SOA particles using temperature programmed desorption Direct analysis in real time ionization – high resolution mass spectrometry (TPD-DART-HRMS).  Chapter 4 introduces the use of ion mobility - mass spectrometry (IM-MS) separation and multidimensional characterization of structural isomers in complex SOA mixtures. The chapter discusses the advanced usage of IM-MS to investigate the molecular and structural properties of isomers of alpha-pinene and limonene derived SOA, use of advanced data analysis procedures to resolved complex conformational and structural isomers, and investigate single-molecule structural changes from atmospheric-like ageing in SOA particles using IM-MS.  Chapter 5 discusses the chemical characterization and analysis of individual brown carbon (BrC) chromophores out of mixture of colorless organic carbon constituents and insoluble soot particles generated from controlled flame combustion of ethane fuel, a surrogate system representing gasoline combustion of motor vehicles. The chapter focuses on the quantitative method development and use of state-of-the-art liquid chromatography coupled to photodiode array followed by dopant assisted atmospheric pressure photoionization and HRMS (LC-PDA-HRMS) analysis, followed by conversion to quantitative optical information for comparisons with retrieved literature reports. Chapter 6 examines the complex multiphase photochemical cycling of Fe(III)-citrate, a relevant proxy for [FeIII-carboxylate]2+ complexes in atmospheric water using complementary analytical metrology of optical spectroscopy, LC-PDA-HRMS, oil immersion flow microscopy. Multi-modal datasets from these complementary techniques provide a unique experimental description of various stages of FeIII-citrate photochemistry, elucidate individual components of this reacting system, determine mechanistic insights, and quantify environmental parameters affecting the photochemistry. </p>

<p> Mass spectrometry imaging (MSI) is an advanced analytical technique that renders spatially defined images of complex label-free samples. Nanospray desorption electrospray ionization (nano-DESI) MSI is an ambient ionization direct liquid extraction technique in which analytes are extracted by means of a continuous liquid flow between two fused-silica capillaries. The droplet generated between the two capillaries is controlled by a delicate balance of solvent flow, solvent aspiration, capillary angles, and distance from the surface. This technique produces reproducible ion images with up to 10 µm resolution and can be used to identify and quantify multiple analytes on a given surface.  This thesis discusses some of the applications of this technique to biological systems, as well as the work done to develop methodology to further improve this technique’s specificity and sensitivity. Herein, applications that push the limits of the current capabilities of nano-DESI are presented, such as the high-resolution imaging of lipid species in skeletal muscle at the single-fiber level, and the quantification of low-abundance drug metabolites.  The second theme of this thesis, developing new capabilities, introduces ion mobility mass spectrometry imaging. This integrated technique increases the selectivity previously possible with MSI. To support these efforts, the work in this thesis has generated data analysis workflows that not only make these experiments possible but also further endeavor to increase sensitivity and combat instrument limitations on mobility resolution. Finally, this thesis present streamlined workflows for tandem MS experiments and modifications to a recently introduced microfluidic variant of the nano-DESI technique. In all, this thesis showcases the current capabilities of the nano-DESI technique and lays the groundwork for future improvements and capabilities.      </p>

Metabolomics is the methodical scientific study of biochemical processes associated with the metabolome—which comprises the entire collection of metabolites in any biological entity. Metabolome changes occur as a result of modifications in the genome and proteome, and are, therefore, directly related to cellular phenotype. Thus, metabolomic analysis is capable of providing a snapshot of cellular physiology. Untargeted metabolomics is an impartial, all-inclusive approach for detecting as many metabolites as possible without a priori knowledge of their identity. Hence, it is a valuable exploratory tool capable of providing extensive chemical information for discovery and hypothesis-generation regarding biochemical processes. A history of metabolomics and advances in the field corresponding to improved analytical technologies are described in Chapter 1 of this dissertation. Additionally, Chapter 1 introduces the analytical workflows involved in untargeted metabolomics research to provide a foundation for Chapters 2 – 5. Part I of this dissertation which encompasses Chapters 2 – 3 describes the utilization of mass spectrometry (MS)-based untargeted metabolomic analysis to acquire new insight into cancer detection. There is a knowledge deficit regarding the biochemical processes of the origin and proliferative molecular mechanisms of many types of cancer which has also led to a shortage of sensitive and specific biomarkers. Chapter 2 describes the development of an in vitro diagnostic multivariate index assay (IVDMIA) for prostate cancer (PCa) prediction based on ultra performance liquid chromatography-mass spectrometry (UPLC-MS) metabolic profiling of blood serum samples from 64 PCa patients and 50 healthy individuals. A panel of 40 metabolic spectral features was found to be differential with 92.1% sensitivity, 94.3% specificity, and 93.0% accuracy. The performance of the IVDMIA was higher than the prevalent prostate-specific antigen blood test, thus, highlighting that a combination of multiple discriminant features yields higher predictive power for PCa detection than the univariate analysis of a single marker. Chapter 3 describes two approaches that were taken to investigate metabolic patterns for early detection of ovarian cancer (OC). First, Dicer-Pten double knockout (DKO) mice that phenocopy many of the features of metastatic high-grade serous carcinoma (HGSC) observed in women were studied. Using UPLC-MS, serum samples from 14 early-stage tumor DKO mice and 11 controls were analyzed. Iterative multivariate classification selected 18 metabolites that, when considered as a panel, yielded 100% accuracy, sensitivity, and specificity for early-stage HGSC detection. In the second approach, serum metabolic phenotypes of an early-stage OC pilot patient cohort were characterized. Serum samples were collected from 24 early-stage OC patients and 40 healthy women, and subsequently analyzed using UPLC-MS. Multivariate statistical analysis employing support vector machine learning methods and recursive feature elimination selected a panel of metabolites that differentiated between age-matched samples with 100% cross-validated accuracy, sensitivity, and specificity. This small pilot study demonstrated that metabolic phenotypes may be useful for detecting early-stage OC and, thus, supports conducting larger, more comprehensive studies. Many challenges exist in the field of untargeted metabolomics. Part II of this dissertation which encompasses Chapters 4 – 5 focuses on two specific challenges. While metabolomic data may be used to generate hypothesis concerning biological processes, determining causal relationships within metabolic networks with only metabolomic data is impractical. Proteins play major roles in these networks; therefore, pairing metabolomic information with that acquired from proteomics gives a more comprehensive snapshot of perturbations to metabolic pathways. Chapter 4 describes the integration of MS- and NMR-based metabolomics with proteomics analyses to investigate the role of chemically mediated ecological interactions between Karenia brevis and two diatom competitors, Asterionellopsis glacialis and Thalassiosira pseudonana. This integrated systems biology approach showed that K. brevis allelopathy distinctively perturbed the metabolisms of these two competitors. A. glacialis had a more robust metabolic response to K. brevis allelopathy which may be a result of its repeated exposure to K. brevis blooms in the Gulf of Mexico. However, K. brevis allelopathy disrupted energy metabolism and obstructed cellular protection mechanisms including altering cell membrane components, inhibiting osmoregulation, and increasing oxidative stress in T. pseudonana. This work represents the first instance of metabolites and proteins measured simultaneously to understand the effects of allelopathy or in fact any form of competition. Chromatography is traditionally coupled to MS for untargeted metabolomics studies. While coupling chromatography to MS greatly enhances metabolome analysis due to the orthogonality of the techniques, the lengthy analysis times pose challenges for large metabolomics studies. Consequently, there is still a need for developing higher throughput MS approaches. A rapid metabolic fingerprinting method that utilizes a new transmission mode direct analysis in real time (TM-DART) ambient sampling technique is presented in Chapter 5. The optimization of TM-DART parameters directly affecting metabolite desorption and ionization, such as sample position and ionizing gas desorption temperature, was critical in achieving high sensitivity and detecting a broad mass range of metabolites. In terms of reproducibility, TM-DART compared favorably with traditional probe mode DART analysis, with coefficients of variation as low as 16%. TM-DART MS proved to be a powerful analytical technique for rapid metabolome analysis of human blood sera and was adapted for exhaled breath condensate (EBC) analysis. To determine the feasibility of utilizing TM-DART for metabolomics investigations, TM-DART was interfaced with traveling wave ion mobility spectrometry (TWIMS) time-of-flight (TOF) MS for the analysis of EBC samples from cystic fibrosis patients and healthy controls. TM-DART-TWIMS-TOF MS was able to successfully detect cystic fibrosis in this small sample cohort, thereby, demonstrating it can be employed for probing metabolome changes. Finally, in Chapter 6, a perspective on the presented work is provided along with goals on which future studies may focus.