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Instructor/Advisor

Dr. Joseph Chiarelli

Abstract

Parallel Factor Analysis is a multivariable analysis that allows for fluorescence data to be analyzed. In this work, PARAFAC was utilized to determine the equilibrium constant of a 1:1 complex of β-cyclodextrin and fluorene. Cyclodextrin has many applications, given its hydrophobic core and hydrophilic surface, allowing it to form inclusion complexes with poorly soluble molecules. PARAFAC is able to relate the fluorescence intensities to each component in the sample by generating score values. The score values are directly proportional to the concentration of each component in the sample, and can be used to determine the equilibrium constant through a series of calculations. PARAFAC creates calculated emission and excitation models, based on a diagnostic table that helps to determine the number of components in the sample. Throughout the trials in this work, the PARAFAC model of best fit revealed a possible impurity that could impact the accuracy of the calculated equilibrium constant. The objective of this work was to show that PARAFAC modeling can accurately calculate the equilibrium constant in comparison to literature values performed with similar methods.

1:1 Inclusion Complex of β-cyclodextrin and Fluorene

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