Developing a fundamental understanding of the interactions between catalytic surfaces and adsorbed molecules is imperative to the rational design of new materials for catalytic, sorption and gas separation applications. Experiments that probed the chemistry at the gas-surface interface were employed through the utilization of in situ infrared spectroscopic measurements in high vacuum conditions to allow for detailed and systematic investigations into adsorption and reactive processes. Specifically, the mechanistic details of propene epoxidation on the surface of nanoparticulate Au supported on TiO2 and dimethyl chlorophosphate (DMCP) decomposition on the surface of TiO2 aerogel-supported Cu nanoparticles were investigated. In situ infrared spectroscopy illustrates that TiO2-supported Au nanoparticles exhibit the unprecedented ability to produce the industrially relevant commodity chemical, propene oxide, through the unique adsorption configuration of propene on the surface of Au and a hydroperoxide intermediate (-OOH) in the presence of gaseous hydrogen and oxygen. Whereas, TiO2-supported Cu aerogels oxidize the organophosphate-based simulant, DMCP, into adsorbed CO at ambient environments. Through a variety of spectroscopic methods, each step in these oxidative pathways was investigated, including: adsorption, oxidation and reactivation of the supported-nanoparticle systems to develop full mechanistic pictures. Additionally, the perturbation of vibrational character of the probe molecule, CO, was employed to characterize the intrinsic µ3-hydroxyls and molecular-level defects associated with the metal-organic framework (MOF), UiO-66. The adsorption of CO onto heterogeneous surfaces effectively characterizes surfaces because the C-O bond vibrates differently depending on the nature of the surface site. Therefore, CO adsorption was used within the high vacuum environment to identify atomic-level characteristics that traditional methods of analysis cannot distinguish. / Doctor of Philosophy / The interaction between small gas molecules and solid surfaces is important for environmental, industrial and military applications. In order to chemically change molecules, surfaces act to lower activation barriers and provide a low energy plane to create new chemical bonds. To study the fundamental interactions that occur between gas molecules and surfaces, we employ infrared spectroscopy in order to probe the vibrations of bonds at the gas–surface interface. By tracking the chemical bonds that break and form on the surface of different materials, we can develop surface reaction pathways for a variety of different chemical reactions. We focus our efforts on two different applications: the conversion of propene to propene oxide for industrial applications and the decomposition of chemical warfare agents. Using the techniques described above, we were able to develop reaction pathways for both propene oxidation and chemical warfare agent simulant degradation. Our work is critical to the further development of catalysts that harness the specific structural and chemical properties we identify as important and exploit them for further use.

Within the "forbidden" range of electron energies between the valence and conduction bands of titanium dioxide, crystal lattice irregularities lead to the formation of electron trapping sites. These sites are known as shallow trap states, where "shallow" refers to the close energy proximity of those features to the bottom of the semiconductor conduction band. For wide bandgap semiconductors like titanium dioxide, shallow electron traps are the principle route for thermal excitation of electrons into the conduction band. The studies described here employ a novel infrared spectroscopic approach to determine the energy of shallow electron traps in titanium dioxide nanoparticles. Mobile electrons within the conduction band of semiconductors are known to absorb infrared radiation. As those electrons absorb the infrared photons, transitions within the continuum of the conduction band produce a broad spectral signal across the entire mid-infrared range. A Mathematical expression based upon Fermi–Dirac statistics was derived to correlate the temperature of the particles to the population of charge carriers, as measured through the infrared absorbance. The primary variable of interest in the Fermi – Dirac expression is the energy difference between the shallow trap states and the conduction band. Fitting data sets consisting of titanium dioxide nanoparticle temperatures and their associated infrared spectra, over a defined frequency range, to the Fermi–Dirac expression is used to determine the shallow electron trap state energy. / Master of Science

The Fourier Transform Infrared spectrometer (FTIR) has been used increasingly as a detector for various forms of chromatography. Clearly the most established marriage has been that of the Gas Chromatograph (GC) with the FTIR. GC-FTIR has been developed well beyond other forms. The main objective of this thesis, however, is to extend the FTIR as a detector to previously untested forms of chromatography using a flow cell interface. These forms of chromatography include High Performance Liquid Chromatography (HPLC), both normal-phase and reversed-phase, and packed-column Supercritical Fluid Chromatography (SFC). Normal phase HPLC-FTIR was demonstrated on not only analytical scale columns, but semi-preparative and microbore scales as well. Significant advantages, particularly with respect to the low solvent consumption, were found in the microbore HPLC-FTIR experiment. This led to the development of a chromatographically improved flow cell, the Zero Dead Volume (ZDV) HPLC-FTIR interface. The ZDV cell shows superior chromatographic characteristics and has unique spectrometric characteristics because of its unusual cross-section. Detection limits as low as 40 ng were observed. Extension to reversed-phase HPLC-FTIR required incorporation of the Flow Injection Analysis (FIA) technique of low-dispersion flowing extraction. The compounds separated by HPLC are extracted into an infrared-transparent solvent, and the extracted compounds are detected by similar means to normal-phase HPLC-FTIR. Investigation of SFC-FTIR incorporated a high-pressure, gold-lined lightpipe flow cell to detect the components separated by the supercritical C0₂/packed-column chromatograph. Several unusual spectrometric characteristics were noted. Detection limits as low as 50 ng were observed with SFC-FTIR. / Ph. D.

No / The Raman spectrum of budesonide is reported for the first time, and molecular assignments are proposed on the basis of ab initio BLYP DFT calculations with a 6-31 G* basis set and vibrational wavenumbers predicted on a quasi-harmonic approximation. Comparison with previously published infrared data has explained several spectral features, and the relative band intensities in the CO and CC stretching regions are interpreted. The results from this study provide data that can be used for the preparative process monitoring of budesonide, an important steroidal pharmaceutical in various dosage forms, and its interaction with excipients and other components.

No / Luticasone propionate is a synthetic glucocorticoid with potent anti-inflammatory activity that has been used effectively in the treatment of chronic asthma. The present work reports a vibrational spectroscopic study of fluticasone propionate and gives proposed molecular assignments on the basis of ab initio calculations using BLYP density functional theory with a 6-31G* basis set and vibrational frequencies predicted within the quasi-harmonic approximation. Several spectral features and band intensities are explained. This study generated a library of information that can be employed to aid the process monitoring of fluticasone propionate.

No / The Raman spectrum of terbutaline hemisulphate is reported for the first time, and molecular assignments are proposed on the basis of ab initio BLYP DFT calculations with a 6-31G* basis set and vibrational frequencies predicted within the quasi-harmonic approximation; these predictions compare favourably with the observed vibrational spectra. Comparison with previously published infrared data explains several spectral features. The results from this study provide data that can be used for the preparative process monitoring of terbutaline hemisulphate, an important ß2 agonist drug in various dosage forms and its interaction with excipients and other components.

No / Salbutamol hemisulphate is a relatively selective ß2-adrenergic agonist and is used as a bronchodilator. In this work, we present a detailed vibrational spectroscopic investigation of salbutamol hemisulphate using mid-infrared and near-infrared Fourier-transform (NIR-FT) Raman spectroscopies. These data are supported by quantum chemical calculations, which allow us to characterise the vibrational spectra of this compound reasonably. As such, this study could be viable for examining the way in which this drug interacts with its target molecules.

Yes / A transflectance near infra red (NIR) spectroscopy approach has been used to simultaneously measure drug and plasticiser content of polymer melts with varying opacity during hot melt extrusion. A high temperature reflectance NIR probe was mounted in the extruder die directly opposed to a highly reflective surface. Carbamazepine (CBZ) was used as a model drug, with polyvinyl pyrollidone-vinyl acetate co-polymer (PVP-VA) as a matrix and polyethylene glycol (PEG) as a plasticiser. The opacity of the molten extrudate varied from transparent at low CBZ loading to opaque at high CBZ loading. Particulate amorphous API and voids formed around these particles were found to cause the opacity. The extrusion process was monitored in real time using transflectance NIR; calibration and validation runs were performed using a wide range of drug and plasticiser loadings. Once calibrated, the technique was used to simultaneously track drug and plasticiser content during applied step changes in feedstock material. Rheological and thermal characterisations were used to help understand the morphology of extruded material. The study has shown that it is possible to use a single NIR spectroscopy technique to monitor opaque and transparent melts during HME, and to simultaneously monitor two distinct components within a formulation.

Phenotypic profiling systematically maps and analyzes observable traits (phenotypes) exhibited in cells, tissues, organisms or systems in response to various conditions, including chemical, genetic and disease perturbations. This approach seeks to comprehensively understand the functional consequences of perturbations on biological systems, thereby informing diverse research areas such as drug discovery, disease modeling, functional genomics and systems biology. Corresponding techniques should capture high-dimensional features to distinguish phenotypes affected by different conditions. Current methods mainly include fluorescence imaging, mass spectrometry and omics technologies, coupled with computational analysis, to quantify diverse features such as morphology, metabolism and gene expression in response to perturbations. Yet, they face challenges of high costs, complicated operations and strong batch effects. Vibrational imaging offers an alternative for phenotypic profiling, providing a sensitive, cost-effective and easily operated approach to capture the biochemical fingerprint of phenotypes. Among vibrational imaging techniques, infrared (IR) imaging has further advantages of high throughput, fast imaging speed and full spectrum coverage compared with Raman imaging. However, current biomedical applications of IR imaging mainly concentrate on "digital disease pathology", which uses label-free IR imaging with machine learning for tissue pathology classification and disease diagnosis. The thesis contributes as the first comprehensive study of using IR imaging for phenotypic profiling, focusing on three key areas. First, IR-active vibrational probes are systematically designed to enhance metabolic specificity, thereby enriching measured features and improving sensitivity and specificity for phenotype discrimination. Second, experimental workflows are established for phenotypic profiling using IR imaging across biological samples at various levels, including cellular, tissue and organ, in response to drug and disease perturbations. Lastly, complete data analysis pipelines are developed, including data preprocessing, statistical analysis and machine learning methods, with additional algorithmic developments for analyzing and mapping phenotypes. Chapter 1 lays the groundwork for IR imaging by delving into the theory of IR spectroscopy theory and the instrumentation of IR imaging, establishing a foundation for subsequent studies. Chapter 2 discusses the principles of popular machine learning methods applied in IR imaging, including supervised learning, unsupervised learning and deep learning, providing the algorithmic backbone for later chapters. Additionally, it provides an overview of existing biomedical applications using label-free IR imaging combined with machine learning, facilitating a deeper understanding of the current research landscape and the focal points of IR imaging for traditional biomedical studies. Chapter 3-5 focus on applying IR imaging coupled with machine learning for novel application of phenotypic profiling. Chapter 3 explores the design and development of IR-active vibrational probes for IR imaging. Three types of vibrational probes, including azide, 13C-based probes and deuterium-based probes are introduced to study dynamic metabolic activities of protein, lipids and carbohydrates in cells, small organisms and mice for the first time. The developed probes largely improve the metabolic specificity of IR imaging, enhancing the sensitivity of IR imaging towards different phenotypes. Chapter 4 studies the combination of IR imaging, heavy water labeling and unsupervised learning for tissue metabolic profiling, which provides a novel method to map metabolic tissue atlas in complex mammalian systems. In particular, cell type-, tissue- and organ-specific metabolic profiles are identified with spatial information in situ. In addition, this method further captures metabolic changes during brain development and characterized intratumor metabolic heterogeneity of glioblastoma, showing great promise for disease modeling. Chapter 5 developed Vibrational Painting (VIBRANT), a method using IR imaging, multiplexed vibrational probes and supervised learning for cellular phenotypic profiling of drug perturbations. Three IR-active vibrational probes were designed to measure distinct essential metabolic activities in human cancer cells. More than 20,000 single-cell drug responses were collected, corresponding to 23 drug treatments. Supervised learning is used to accurately predict drug mechanism of action at single-cell level with minimal batch effects. We further designed an algorithm to discover drug candidates with novel mechanisms of action and evaluate drug combinations. Overall, VIBRANT has demonstrated great potential across multiple areas of phenotypic drug screening.

La spectroscopie infrarouge à matrice à plan focal (PAIRS) est utilisée pour étudier la déformation et la relaxation des polymères à très haute vitesse, soit de 46 cm/s, grâce à sa résolution temporelle de quelques millisecondes. Des mesures complémentaires de spectroscopie infrarouge d’absorbance structurale par modulation de la polarisation (PM-IRSAS) ont été réalisées pour suivre des déformations plus lentes de 0,16 à 1,6 cm/s avec une résolution temporelle de quelques centaines de millisecondes. Notre étude a permis d’observer, à haute vitesse de déformation, un nouveau temps de relaxation (τ0) de l’ordre d’une dizaine de millisecondes qui n’est pas prédit dans la littérature. Le but de cette étude est de quantifier ce nouveau temps de relaxation ainsi que de déterminer les effets de la température, de la masse molaire et de la composition du mélange sur ce dernier. Des mesures effectuées sur du polystyrène (PS) de deux masses molaires différentes, soit 210 et 900 kg/mol, à diverses températures ont révélé que ce temps est indépendant de la masse molaire mais qu’il varie avec la température. Des mesures effectuées sur des films composés de PS900 et de PS deutéré de 21 kg/mol, ont révélé que ce temps ne dépend pas de la composition du mélange et que la longueur des chaînes de PS n’a aucun impact sur celui-ci. D’autres mesures effectuées sur des films de PS900 mélangé avec le poly(vinyl méthyl éther) (PVME) ont révélé que ce temps est identique pour le PS900 pur et le PS900 dans le mélange, mais qu’il est plus court pour le PVME, de l’ordre de quelques millisecondes. / Planar array infrared spectroscopy (PAIRS) was used to study the fast deformation and relaxation of polymers at s draw rate of 46 cm/s, giving millisecond time resolution. Complementary measurements by polarization modulation infrared structural absorbance spectroscopy (PM-IRSAS) were conducted to probe slower deformations (0.16 to 1.6 cm/s) with a time resolution of a few hundreds of milliseconds. Our study allowed the observation, after fast deformation, of a new relaxation time (τ0), on the order of tens of milliseconds, which was not predicted in the literature. The aim of this work is to quantify this new relaxation time and to determine how it is affected by molecular weight, temperature, and blending. Measurements performed on polystyrene (PS) with two different molecular weights (210 and 900 kg/mol) at various temperatures revealed that the new relaxation time is independent of the molecular weight, but that it varies with temperature. Measurements performed on film blends of PS900 with deuterated PS of low molecular weight (21 kg/mol) indicated that this time is unaffected by blending and that the PS chain length has no impact on it. Measurements on films of PS blended with poly(vinyl methyl ether) (PVME) revealed that it is identical for pure PS and for PS in the blends, but that it is shorter, on the order of few milliseconds, for PVME.