Graduation Year
2022
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Chemistry
Major Professor
Theresa Evans-Nguyen, Ph.D.
Committee Member
Ioannis Gelis, Ph.D.
Committee Member
John Koomen, Ph.D.
Committee Member
Stanley Stevens, Ph.D.
Keywords
BRaf, Chemical Education, HDX Kinetics, Ion Mobility, RNAse CTD, Solvation
Abstract
In analytical chemistry, method development is key to identifying, separating, and quantifying chemical components of interest systems. The chemical aspects are fundamental to understanding the subject of any analytical system, whether in academic research, industry, or government. These methodologies serve as a bridge between the classroom, where students are taught to be curious and enlightened, and research, where one strives to contribute. The Ph.D. dissertation integrates advanced methodologies in basic and applied research and advanced instrumentation, but the core criteria for validation remain the same. As part of chemical education curriculum development, a large cohort of undergraduates performed two gas chromatography experiments to gain real-life experience with quantitative analysis. Students learned about the importance of standardization, sample handling, and chromatography. At the same time, the teaching assistants were expected to take rigorous measures to ensure the labs' durability and robustness. Conversely, this article focuses on the need for improved analytical systems for proteomics. The structural information derived from protein motion and post-translational modifications can be used to probe deeper into their functions. A new phosphoproteomics gas-phase differentiation by FAIMS-MS tackles the analytical challenges in regular phosphopeptide analysis. As for hydrogen-deuterium exchange, a long-studied -omics technique, it is targeted for a simplified modification and moves with the tide of complex data processing.
Scholar Commons Citation
Vuppala, Laxmi Sinduri, "Advanced Analytical Method Development: from Highly-Enrolled Classroom to Data-Intensive Proteomics" (2022). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10270