Poster Title
P-42 Sensitivity Analysis of [Ru(bpy)3] 2+/TPrA Based ECL Reaction Kinetics
Abstract
A series of DAEs (differential algebraic equations) was developed to model electrochemiluminescent (ECL) reactions. This model was specified for the Ru(bpy)32+ /TPrA reaction. Various parameters for the steps of the reaction were determined from a literature review. Uncertainties in the ECL reaction mechanisms make it difficult to develop a mechanism-based model. To compensate for this, an attempt to use machine learning was made. This was applied to determine critical reaction factors through performing sensitivity analysis on these parameters. This work demonstrated that the method of applying a hybrid of traditional and machine learning modeling could be effective in understanding or verifying reaction mechanisms and determining kinetic parameters. Further, this method could aid in a biosensor design application of the ECL phenomenon.
Start Date
2-28-2020 2:30 PM
P-42 Sensitivity Analysis of [Ru(bpy)3] 2+/TPrA Based ECL Reaction Kinetics
A series of DAEs (differential algebraic equations) was developed to model electrochemiluminescent (ECL) reactions. This model was specified for the Ru(bpy)32+ /TPrA reaction. Various parameters for the steps of the reaction were determined from a literature review. Uncertainties in the ECL reaction mechanisms make it difficult to develop a mechanism-based model. To compensate for this, an attempt to use machine learning was made. This was applied to determine critical reaction factors through performing sensitivity analysis on these parameters. This work demonstrated that the method of applying a hybrid of traditional and machine learning modeling could be effective in understanding or verifying reaction mechanisms and determining kinetic parameters. Further, this method could aid in a biosensor design application of the ECL phenomenon.
Acknowledgments
Undergraduate Research Scholar
Mentor: Hyun Kwon, Engineering