This project focuses on the determination of critical
properties of dilute mixtures, as well as the prediction of
mixture properties based on those measurements. The critical
points are determined using a sealed ampoule method and a flow
method. From the slopes of the critical lines, the Krichevskii
parameters can be obtained. The Krichevskii parameter represents
the change of pressure with addition of solute to the solvent at
its critical point. It can be utilized to predict properties of
the dilute mixture such as partial molar properties, infinite
dilution partition coefficient and Henry's constant. Furthermore,
the theory of dilute solutions suggests that the solubility of
solids in supercritical fluids is dominated by the Krichevskii
parameters. This theory provides an alternative method for the
correlation and prediction of solubility of solids in supercritical
fluids. Since there are very little systems in which both solubility
and critical point data is available, the theory is modest at this
point. One goal of this research is to verify this theory by
measuring the critical points of mixtures and compare the
Krichevskii parameters obtained from critical point data to the
Krichevskii parameters obtained form solubility data. Solubility
enhancement of solids in supercritical fluids in the presence of
another solid can also be related to the Krichevskii parameters.
Bio Sketch:
Janette Mendez-Santiago was born on December 18, 1969
in San Juan, Puerto Rico. She obtained a bachelor degree in
Chemical Engineering from the University of Puerto Rico in 1992.
After finishing her undergraduate work, she moved to Atlanta, GA,
where she worked for the Environmental Protection Agency (EPA) for
two years. On March 1994, she was awarded with a fellowship from
the National Science Foundation to pursue graduate studies. On
September 1994, she started her graduate work at Georgia Institute
of Technology, School of Chemical Engineering, where she is currently
working under the direction of Dr. Amyn S. Teja. Her research work
involves the prediction of properties of dilute solutions from
critical point measurements.