Scholar: Kyana Sanders
Major: Chemistry - Professional Emphasis
Faculty Mentors: Dr. Christopher Jeffrey
Research Topic: Optimization of Diffusion Ordered Spectroscopy (DOSY) Data Acquisition and Analysis Methods for Crude Organic Mixtures
Abstract: Diffusion Ordered Spectroscopy (DOSY) is a two-dimensional Nuclear Magnetic Resonance (NMR) technique which assigns resonance signals to specific components of a mixture according to their diffusion coefficients. This technique has the potential to facilitate significant findings in the field of Chemical Ecology. However, the success of DOSY experiments is highly dependent upon the optimization of acquisition parameters prior to data collection. Consequently, failure to optimize these parameters often yields limited resolution, especially in studies concerning complex and/or unknown mixtures. This study aims to increase the viability of DOSY methods in Chemical Ecology research by improving their capacity to resolve crude extracts. Specifically, this study intends to identify which parameter(s) have the greatest impact on component separation and how these parameters must be adjusted in order to acquire desired separation. To accomplish this, a series of artificial mixtures with known compound composition and known relative concentrations are being used to streamline the process of parameter optimization. In addition, a combination of Bayesian and Peak Heights Fit DOSY transforms are used to interpret the data and assess the quality of separation. This knowledge will be applied to crude plant mixtures, in which compound composition and relative concentrations are unknown, to assess the phytochemical complexity of different plant extracts. Preliminary findings are to be discussed.
New Scholar: 2017 cohort