Tags: Analytical Seminar


Deriving Three One Dimensional NMR Spectra from a Single Experiment Through Machine Learning

NMR-based metabolomics is a robust analytical tool used to investigate the chemical phenotype of biofluids. The relationships between its components and human health has the potential to alter clinical practices, including treatment efficacy and disease prognosis. As an intrinsically quantitative, highly reproducible and non-destructive technique, often requiring little sample preparation, NMR is ideal for metabolomics. Utilizing targeted pulse…


Guest Speaker: Prof. Donald R. Blake


Integrating Field Studies and Laboratory Experiments to Investigate the Processes and Climate Impacts of Atmospheric Pollutants

Atmospheric pollutants, ranging from traditional organic aerosols to emerging contaminants such as nanoplastics and per- and polyfluoroalkyl substances (PFAS), play critical roles in air quality, climate forcing, and environmental health. Yet their sources, atmospheric transformations, transport pathways, and impacts remain poorly constrained. My research integrates state-of-the-art laboratory experiments with innovative field campaigns,…


Immobilization of Transmembrane Receptors for SPR Kinetic Measurements by using SpyCatcher-SpyTag Complex

Membrane proteins are ideal drug targets due to their ubiquitous responsibilities in cellular signaling, substrate and ion transport, and ease of access due to their location in the cell. Membrane proteins are also notoriously difficult to study due to their hydrophobicity and flexible sections. Surface plasmon resonance (SPR) is an optical method that has offered multiple methodologies to study membrane proteins, including immobilizing these…


Properties of Surface-Active Organics in Aerosol Particles Produced from Combustion of Biomass Fuels under Simulated Prescribed-Fire and Wildfire Conditions

Surface-active organics (surfactants) have previously been measured in atmospheric aerosol particles to quantify their ability to reduce particle surface tension and influence the indirect effects of aerosol particles on the climate. However, surfactants have not been extensively studied in biomass burning aerosols (BBA), which could result in an underestimation when quantifying the contribution of surface tension on aerosol-cloud interactions.…


Pathogenic Bacteria Identification and Antimicrobial Genetics by Nanopore Sequencing

Nosocomial bacterial infections are a prevalent issue due to pathogenic bacteria having easier access to invade the bloodstream. Over the years pharmaceutical companies have released a variety of antimicrobial drugs to combat this problem, however, the over-prescription, along with bacteria’s innate ability to adapt, has led to increased resistance.1 Due to current analytical limitations, it is challenging to quickly identify pathogenic…


Using Machine Learning to Predict Ion Mobility Collisional Cross Sections

Nowadays, ion mobility is getting more and more popular due to its ability to add an additional degree of separation when coupled with traditional techniques like liquid or gas chromatography along with providing key information for a molecule’s collision crosssection (CCS). CCS is a measurement of a molecule’s effective area when it is allowed to collide with a neutral gas such as Helium or Nitrogen under the influence of an electrical current…


Quantification of C=C isomers Using Aziridine-Based Isobaric Mass Tagging

In response to environmental stress, living organisms are known to actively alter their membrane lipid compositions in their cell membranes to maintain cellular function and integrity. Glycerophospholipids, a main component of bacterial and human cell membranes, consist of a phosphate headgroup, glycerol backbone, and two fatty acids chains attached at either the sn-1 or sn-2 positions. Recent studies revealed the shift in the relative…


Literature Seminar: Alyssa Wright


Uncovering the Heterogeneity of the Human Metabolome

In recent years, significant efforts have been focused into understanding metabolic reprogramming in cancer with the hope of discerning context-specific biology that is exploitable for either for diagnosis or treatment. While some generalized phenomena such as the ‘Warburg Effect’ have been identified, the metabolic landscape of cancer is highly heterogeneous, as tumors from the same sub-type can exhibit vastly different metabolic profiles,…
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