Surrogate chromatographic models and the solvation parameter model

• Solvation parameter model provides a link between chromatographic and partition processes. • A visualization technique and d -parameter combination is a practical approach to identify surrogate chromatography systems. • Surrogate chromatographic systems are a cost effective approach in estimating partition properties of interest. Many partition processes of interest have been characterised using Abraham's solvation parameter model. However, to estimate physicochemical, environmental, or biophysical properties of compounds requires reliable solute descriptors. Exploitation of the correlation of partition processes and chromatographic retention data is an alternative approach to estimate properties of interest without relying on solute descriptors. The system constants of the solvation parameter model, along with screening tools such as Cos θ, d -parameter, D -parameter, principal component analysis, and hierarchical cluster analysis, facilitate the identification of similarities between partitioning and chromatographic systems. In this review we discuss various screening tools to identify similarities between partitioning and chromatographic systems as well as applications of surrogate chromatographic models to estimate physicochemical, environmental, and biophysical properties of interest.