Possibilities and pitfalls in defining selectivity in HPLC

A solvation-based screening approach for metabolite arrays

This paper explores a new method for screening metabolites in an array format based on relative polarity using selective solvent dissolution. A synthetic cocktail of metabolites was spotted onto a hydrophobic silicon surface, and solubilised with solvents of varying polarity. The metabolites retained on the silicon surface after the solvent treatments were detected using time-of-flight static secondary ion mass spectrometry (ToF-sSIMS). Solvent-specific metabolite retention was clearly evident on multivariate analysis of the dataset, using principal component analysis. Selective removal of metabolites was observed when solvents with different polarity were used, with the metabolite retention or removal in most cases correlating to the polarity of the solvent used, although consideration of other forces in operation may be needed to arrive at fully predictable behaviours. This approach provides the basis for development of a technique to separate complex metabolites into simpler constituents in a metabolite array prior to identification and quantification using mass spectrometry. It is an analytical approach that is intermediate between the more rapid but less informative direct analysis methods (such as DIMS) that do not involve any analyte separations and the more comprehensive but time consuming methods (such as GC- and LC-MS) that involve chromatographic or electrophoretic separations. The approach has the potential to be successfully developed for rapid, yet informative screening of metabolomes.

Column selectivity from the perspective of the solvation parameter model

The solvation parameter model is a useful tool for delineating the contribution of defined intermolecular interactions to retention of neutral molecules in separation systems based on a solute equilibrium between a gas, liquid or fluid mobile phase and a liquid or solid stationary phase. The free energy for this process is decomposed into contributions for cavity formation and the set up of intermolecular interactions identified as dispersion, electron lone pair, dipole-type and hydrogen bonding. The relative contribution of these interactions is indicated by a series of system constants determined by the difference of the defined interaction in the two phases. The interpretation of these system constants as a function of experimental factors that affect retention in the chromatographic system provides the connection between relative retention (selectivity) and the control variables for the separation system. To aid in the understanding of these processes we perform an analysis of system constants for gas chromatography, liquid chromatography, supercritical fluid chromatography and micellar electrokinetic chromatography as a function of different experimental variables as a step towards gaining a theoretical understanding of selectivity optimization for method development.

Effect of molecular interactions on retention and selectivity in reversed-phase liquid chromatography

The linear solvation energy relationships (LSERs) have been applied in the last years for description and prediction of retention and selectivity in reversed-phase liquid chromatography with good results. Widely different stationary phases have been compared and characterized by LSERs. In recent publications the influence of the type of the organic moderator and the composition of the mobile phase have also been described. However, the influence of the molecular properties of the solutes to be separated has never been discussed. According to the LSER model variation in retention factors (log k) with solute structure can be related to their potential for various intermolecular interactions. The retention factor is given as the sum of the terms of the LSER equation representing various types of molecular interactions. For this reason the influence of the structure and molecular properties of the solutes to be separated can also be investigated using the LSER equation. In this study we shall demonstrate how the specific molecular interactions influence chromatographic retention and selectivity. We intend to show that retention and selectivity depend on all participants of the system. In addition to the structure and properties of the stationary phase and the type and composition of the mobile phase the molecular properties of the solutes, characterized by the solvation parameters, will also influence the type and extent of the various molecular interactions governing retention and selectivity.

Comparison of retention of aromatic hydrocarbons with polar groups in binary reversed-phase high-performance liquid chromatography systems

The retention of aromatic hydrocarbons with polar groups has been correlated as log k1 versus log k2 for reversed-phase high-performance liquid chromatography systems with different binary aqueous mobile phases containing methanol, acetonitrile or tetrahydrofuran as modifiers. Distinct changes in separation selectivity have been observed between tetrahydrofuran and acetonitrile or methanol systems. Methanol and acetonitrile systems show lower diversity of separation selectivity. The changes in retention and selectivity of aromatic hydrocarbons with various polar groups between any two chromatographic systems with binary aqueous eluents (tetrahydrofuran vs. acetonitrile, tetrahydrofuran vs. methanol and methanol vs. acetonitrile) have been interpreted in terms of molecular interactions of the solute with especially one component of the stationary phase region, i.e. extracted modifier, and stationary phase ordering. The ordering of the stationary phase region caused by modifier type influences the chromatographic selectivity of solutes with different molecular shape.