ABSTRACT
Predictive modeling of evaporation processes is important in many areas of science and engineering. Although a variety of models have been developed, successful application of such models generally requires knowledge of the composition and the relevant properties for each constituent in the sample or an estimation of such properties for the bulk sample. To address these challenges, a kinetic model has been developed that uses the gas chromatographic retention index as a surrogate property, thereby obviating the need to know the composition and identity of the chemical constituents in the sample. In this chapter, the theoretical principles of the model are described and its validation is demonstrated with emphasis on environmental and forensic applications.
