(242c) Prediction of the Impact of Water Fraction on Emulsion Behavior Using Quantitative Structure-Property Relationship (QSPR) Modeling

Negash, M., Oklahoma State University
Venkataramani, D., Oklahoma State University
Kumar, A., Oklahoma State University
Aichele, C. P., Oklahoma State University
Briggs, N., University of Oklahoma
Crossley, S., University of Oklahoma
Neely, B. J., Oklahoma State University

Predicting emulsion behavior and transient properties is critical for several industrial applications, particularly in the energy and biofuels industries. The complex and dynamic nature of these systems make their computational prediction using conventional methodologies difficult. Quantitative Structure-Property Relationship (QSPR) modeling, however, is a robust framework which can be applied to predict emulsion behavior and account for the complexities that arise in these systems. This work utilizes QSPR to specifically incorporate the impact of water fraction on emulsion behavior and properties. Optical microscopy is used to quantify droplet size distributions for inclusion in the QSPR modeling framework.