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Instructor/Advisor

Dr. Joseph Chiarelli

Abstract

Human plasma presents as a complex biological matrix that can serve as a valuable source for biomarkers that can help us study health and wellness. Fluorescence measurements, excitation-emission matrices (EEMs), were collected from various samples. To deconvolute the complex makeup of signals, we then applied Parallel Factor analysis (PARAFAC) to the data collected from plasma samples. This allowed us to isolate signals of several fluorescent components. Finally, the results and findings are benchmarked against previous studies on plasma, and some of the calculated components are attributed to chemical species such as Tyrosine and NADH. This dataset was made up of subjects varying in various characteristics, such as age and gender, and our analysis examines differences and trends in the dataset between different types of subjects.

Measuring Biomarkers in Plasma with Fluorescence Spectroscopy

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