<p dir="ltr">The beautiful complexity of our world is manifested in how macro- and even planetary-scale processes are essentially completely determined and regulated by chemical and physical transformations happening at the micro- and nanoscale. The introduction and subsequent development of optical microscopy methods have provided us with a unique opportunity to visualize, probe, and sometimes even control these processes that are too small to be seen by the human eye by their nature.</p><p dir="ltr">Among the great variety of truly impressive advances in microscopy instrumentation, two techniques stand out in their widespread and usefulness. First of them, fluorescence imaging has completely revolutionized the study of biological specimens and living systems due to its unprecedented single-molecule sensitivity and resolution combined with video-rate imaging capability. On the other hand, chemical imaging in the mid-infrared region provides an unmatched amount of chemical information enabling label-free mapping of the spatial distribution of various classes of biological molecules. However, each of these techniques falls short where the other excels. For example, despite its high resolution and sensitivity, fluorescence imaging does not carry direct chemical information and relies on labeling specificity, while infrared microscopy is diffraction-limited at the resolution of several micrometers and suffers from low penetration depth in aqueous solutions.</p><p dir="ltr">This dissertation introduces a novel imaging method designed to combine the advantages of fluorescence imaging and infrared spectroscopy. Fluorescence-detected photothermal mid-IR (F-PTIR) microscopy is presented in <b>chapter 1</b> as a technique enabling sub-diffraction chemically-specific microscopy by detecting local temperature-induced fluctuations in fluorescence intensity to inform on localized mid-infrared absorption. F-PTIR applications in targeted biological microspectroscopy (<b>chapter 1</b>) and pharmaceutical materials (<b>chapters 2 and 3</b>) analysis are demonstrated to highlight the potential of this new method. Furthermore, instrumentation developments relying on modern radiation sources such as dual-comb quantum cascade laser and synchrotron infrared radiation are shown to improve spectral acquisition speed (<b>chapter 4</b>) and spectral coverage (<b>chapter 5</b>), respectively, to extend the application range of F-PTIR.</p>

<p dir="ltr">Atmospheric organic aerosols (OA) have diverse compositions and undergo complex reactions and transformations within the atmosphere, leading to profound impacts on air quality, climate, and atmospheric chemistry. In particular, these aerosols play an important role in Earth's effective radiative forcing (ERF) through interactions with solar radiation, absorbing and scattering sunlight and terrestrial radiation. These interactions result in a warming and cooling effect on the climate, respectively. This dissertation seeks to unravel the intricate molecular characteristics of atmospheric OA, focusing specifically on its light-absorbing components, known as ‘Brown Carbon’ (BrC), and aims to comprehend its dynamic interplay within the atmosphere. The research employs state-of-the-art multi-modal mass spectrometry techniques to investigate atmospheric OA derived from the combustion of fossil fuels and biomass burning. Through a combination of controlled laboratory experiments and real-world sample analyses, these works provide molecular-level insights crucial for source apportionment and predictive modeling of OA fate. Chapter 2 details the instrumentation and data analysis methods, laying a robust foundation for subsequent chapters.</p><p dir="ltr">Chapter 3 delves into the investigation of smoldering-phase biomass burning organic aerosols (BBOA) and introduces an innovative fractionation method for high-level molecular characterization, targeted to streamline source apportionment of BBOA. This chapter also presents an extensive assessment of particle-to-gas partitioning of BBOA, providing valuable information for modeling atmospheric lifetimes and fate. In Chapter 4, a comparative analysis of BBOA from wild and agricultural fires is conducted, employing advanced molecular characterization techniques. Chapter 5 showcases the synergistic use of multi-modal mass spectrometry techniques to probe the chemical evolution of individual BBOA components. Finally, Chapter 6 examines the molecular analysis of secondary OA (SOA) generated from the photooxidation of a fossil-fuel proxy.</p><p dir="ltr">The comprehensive molecular-level studies presented contribute essential insights for climate modeling, aiding in resolving uncertainties associated with OA's impact on global ERF. The research not only challenges existing analytical methods but also introduces novel approaches for obtaining relevant information about atmospheric OA components. Overall, this work advances our understanding of the intricate dynamics of atmospheric aerosols, facilitating more accurate climate predictions and addressing uncertainties surrounding their net radiative impact.</p>

<p dir="ltr">Mass spectrometry imaging (MSI) is a powerful technique for visualizing the distribution of molecules within biological samples. Advancements in MSI instrumentation and computational tools have enabled the impactful applications of this technique across various fields including clinical research, drug discovery, forensics, microbiology, and natural products. Nanospray desorption electrospray ionization (nano-DESI), an ambient localized liquid extraction ionization technique, has proven valuable to the MSI community. Nano-DESI has been used for imaging of various molecules in biological samples including drugs, metabolites, lipids, N-linked glycans, and proteins.</p><p dir="ltr">My research has been focused on expanding the sensitivity and specificity of nano-DESI for biomolecular imaging. One of the newly developed methods employs ammonium fluoride NH₄F as a solvent additive to enhance the sensitivity of nano-DESI for the analysis of lipids in negative ionization mode. Secondly, methods were developed for the spatial mapping of isobaric and isomeric species in biological tissues by implementing nano-DESI MSI on a triple quadrupole (QqQ) mass spectrometer. This work used multiple reaction monitoring (MRM) mode of a QqQ with unit mass resolution to separate isobaric lipid species that require high mass resolving power and imaging of isomeric low-abundance species in tissue sections. Next, I demonstrate nano-DESI as a liquid extraction technique for imaging of N-linked glycans within biological tissue sections. Lastly, the spatial distribution of eicosanoids and specialized pro-resolving mediators (SPMs) in a mouse model for acetaminophen-induced liver injury (AILI) provides insights into the inflammation and resolution phases of AILI. Collectively, these developments have advanced the sensitivity, chemical specificity, and molecular coverage of nano-DESI for imaging of different classes of molecules in biological tissues.</p>

In forensic chemistry, a quicker and more accurate analysis of a sample is always being pursued. Speedy analyses allow the analyst to provide quick turn-around times and potentially decrease back-logs that are known to be a problem in the field. Accurate analyses are paramount with the futures and lives of the accused potentially on the line. One of the most common methods of analysis in forensic chemistry laboratories is gas chromatography, chosen for the relative speed and efficiency afforded by this method. Two major routes were attempted to further improve on gas chromatography applications in forensic chemistry.<br> The first route was to decrease separation times for analysis of ignitable liquid residues by using micro-bore wall coated open-tubular columns. Micro-bore columns are much shorter and have higher separation efficiencies than the standard columns used in forensic chemistry, allowing for faster analysis times while maintaining the expected peak separation. Typical separation times for fire debris samples are between thirty minutes and one hour, the micro-bore columns were able to achieve equivalent performance in three minutes. The reduction in analysis time was demonstrated by analysis of ignitable liquid residues from simulated fire debris exemplars.<br> The second route looked at a relatively new detector for gas chromatography known as a vacuum ultraviolet (VUV) spectrophotometer. The VUV detector uses traditional UV and far-ultraviolet light to probe the pi and sigma bonds of the gas phase analytes as well as Rydberg traditions to produce spectra that are nearly unique to a compound. Thus far, the only spectra that were not discernable were from enantiomers, otherwise even diastereomers have been differentiated. The specificity attained with the VUV detector has achieved differentiation of compounds that mass spectrometry, the most common detection method for chromatography in forensic chemistry labs, has difficulty distinguishing. This specificity has been demonstrated herein by analyzing various classes of drugs of abuse and applicability to “real world” samples has been demonstrated by analysis of de-identified seized samples.<br>

<p>Microglia are a population of specialized, tissue-resident immune cells that make up around 10% of total cells in our brain. They actively prune neuronal synapses, engulf cellular debris, and misfolded protein aggregates such as the Alzheimer’s Disease (AD)-associated amyloid-beta (Aβ) by the process of phagocytosis. During AD, microglia are unable to phagocytose Aβ, perhaps due to the several disease-associated changes affecting their normal function. Functional molecules such as lipids and metabolites also influence microglial behavior but have primarily remained uncharacterized to date. The overarching question of this work is, <i>How do microglia become dysfunctional in chronic inflammation</i>? To this end, we developed new chemical tools to better understand and investigate the microglial response to Aβ <i>in vitro</i> and <i>in vivo</i>. Specifically, we introduce three new tools. (1) Recombinant human Aβ was developed via a rapid, refined, and robust method for expressing, purifying, and characterizing the protein. (2) A pH-sensitive fluorophore conjugate of Aβ (called Aβ^pH) was developed to identify and separate Aβ-specific phagocytic and non-phagocytic glial cells <i>ex vivo</i> and <i>in vivo</i>. (3) New lysosomal, mitochondrial, and nuclei-targeting pH-activable fluorescent probes (called LysoShine, MitoShine, and NucShine, respectively) to visualize subcellular organelles in live microglia. Next, we asked, <i>What changes occur to the global lipid and metabolite profiles of microglia in the presence of Aβ in vitro and in vivo</i>? We screened 1500 lipids comprising 10 lipid classes and 700 metabolites in microglia exposed to Aβ. We found significant changes in specific lipid classes with acute and prolonged Aβ exposure. We also identified a lipid-related protein that was differentially regulated due to Aβ <i>in vivo</i>. This new lipid reprogramming mechanism “turned on” in the presence of cellular stress was also present in microglia in the brains of the 5xFAD mouse model, suggesting a generic response to inflammation and toxicity. It is well known that activated microglia induce reactive astrocytes during inflammation. Therefore, we asked, <i>What changes in proteins, lipids, and metabolites occur in astrocytes due to their reactive state? </i>We provide a comprehensive characterization of reactive astrocytes comprising 3660 proteins, 1500 lipids, and 700 metabolites. These microglia and astrocytes datasets will be available to the scientific community as a web application. We propose a final model wherein the molecules secreted by reactive astrocytes may also induce lipid-related changes to the microglial cell state in inflammation. In conclusion, this thesis highlights chemical neuroimmunology as the new frontier of neuroscience propelled by the development of new chemical tools and techniques to characterize glial cell states and function in neurodegeneration.</p>

<p> </p> <p>Learning about ‘behavior’ has always been at the heart of my research endeavors. While my undergraduate work in evolution and ecology exposed me to the science behind why a behavior exists, in my graduate work, I intended to explore how to use something’s behavior to widen its applicability. In this thesis, <em>I will present three works that utilize some of the fundamental</em></p> <p><em>behaviors (i.e., properties) of elastin-like polypeptides (ELP) to improve existing protein purification methods or explore their applicability in bladder cancer imaging and immunotherapy. </em></p> <p>Bladder cancer has high recurrence rates (60-70 % annually) that necessitate multiple follow-up therapies making it one of the costliest cancers per patient. In this work, we have attempted to address two leading causes of the recurrence. First is a low sensitivity (62-84 %) and variable specificity (43-95 %) of white light cystoscopy used to diagnose and remove tumors. We aimed to address the heart of this problem, i.e., the non-specific mode of detection using white light. Only the trained eyes can discern abnormal from normal-appearing tissues even then, leaving up to 45% of tumors unresected to colonize and spread. <em>We developed and characterized near infrared dye-peptide-ligand conjugates (NIR-ELP-ligand) that undergo receptor-mediated binding and internalization to human bladder cancer cells in vitro and tissues ex vivo.</em> By using a molecular target-based probe in combination with NIR imaging, we can aid in improving the detection limit via selective binding to the tumor and reduction in background autofluorescence.</p> <p>Bacillus-Calmette Guérin (BCG) instillation in the bladder is the gold-standard</p> <p>immunotherapy used after surgical removal of bladder tumors. This was approved as a response to the inefficiency of surgery alone in improving cancer status. It has succeeded by reducing the recurrence rate to 30-50 %. But it comes with the complications of putting a live mycobacterium</p> <p>in the human body and giving a patient a urinary tract infection right after surgical tumor resection. <em>Thus, we aimed to deliver nucleic acid as immunotherapeutic cargo in a selective manner to elicit robust anti-tumor immune responses while minimizing the side effects due to its carrier.</em> Towards</p> <p>this goal, we have developed a highly modular and adaptable ELP-ligand fusion protein-based nucleic acid delivery carrier targeted toward bladder cancer. Before developing targeted peptide-based cancer imaging and nucleic acid delivery modalities, we addressed the Achilles heel of peptide-based approaches. The peptide and protein industry suffers</p> <p>through complex, time-consuming, inconsistent, and low-yielding purification methods. <em>We have developed a scalable, facile, and reproducible protein purification method that delivers ELP and ELP fusion proteins free of host cell proteins and nucleic acids and has low lipopolysaccharide</em></p> <p><em>content in just 3 h starting from a bacterial pellet. </em>Thus, for a coherent narrative, the thesis is structured as follows:</p> <p>1. Introduction</p> <p>2. ELP as a protein purification tag: Development of a rapid purification method for ELPs and ELP fusion proteins.</p> <p>3. ELP as a cancer imaging agent: Development of NIR-ELP-Ligand imaging probe targeting bladder cancer.</p> <p>4. ELP as a drug delivery agent: Utilizing ELP-ligand fusion protein in the formulation of targeted nucleic acid delivery carrier to bladder cancer.</p>

Optics are a powerful probe of chemical structure that can often be linked to theoretical predictions, providing robustness as a measurement tool. Not only do optical interactions like second harmonic generation (SHG), single and two-photon excited fluorescence (TPEF), and infrared absorption provide chemical specificity at the molecular and macromolecular scale, but the ability to image enables mapping heterogeneous behavior across complex systems such as biological tissue. This thesis will discuss nonlinear and linear optics, leveraging theoretical predictions to provide frameworks for interpreting analytical measurement. In turn, the causal mechanistic understanding provided by these frameworks will enable structurally specific quantitative tools with a special emphasis on application in biological imaging. The thesis will begin with an introduction to 2nd order nonlinear optics and the polarization analysis thereof, covering both the Jones framework for polarization analysis and the design of experiment. Novel experimental architectures aimed at reducing 1/f noise in polarization analysis will be discussed, leveraging both rapid modulation in time through electro-optic modulators (Chapter 2), as well as fixed-optic spatial modulation approaches (Chapter 3). In addition, challenges in polarization-dependent imaging within turbid systems will be addressed with the discussion of a theoretical framework to model SHG occurring from unpolarized light (Chapter 4). The application of this framework to thick tissue imaging for analysis of collagen local structure can provide a method for characterizing changes in tissue morphology associated with some common cancers (Chapter 5). In addition to discussion of nonlinear optical phenomena, a novel mechanism for electric dipole allowed fluorescence-detected circular dichroism will be introduced (Chapter 6). Tackling challenges associated with label-free chemically specific imaging, the construction of a novel infrared hyperspectral microscope for chemical classification in complex mixtures will be presented (Chapter 7). The thesis will conclude with a discussion of the inherent disadvantages in taking the traditional paradigm of modeling and measuring chemistry separately and provide the multi-agent consensus equilibrium (MACE) framework as an alternative to the classic meet-in-the-middle approach (Chapter 8). Spanning topics from pure theoretical descriptions of light-matter interaction to full experimental work, this thesis aims to unify these two fronts. <br>