Comparison of core–shell particles and sub-2μm fully porous particles for use as ultrafast second dimension columns in two-dimensional liquid chtomatography

Mapping the Separation Landscape in Two-Dimensional Liquid Chromatography: Blueprints for Efficient Analysis and Purification of Pharmaceuticals Enabled by Computer-Assisted Modeling

Recent developments in two-dimensional liquid chromatography (2D-LC) now make separation and analysis of very complex mixtures achievable. Despite being such a powerful chromatographic tool, current 2D-LC technology requires a series of arduous method development activities poorly suited for a fast-paced industrial environment. Recent introductions of new technologies including active solvent modulation and a support for multicolumn 2D-LC are helping to overcome this stigma. However, many chromatography practitioners believe that the lack of a systematic way to effectively optimize 2D-LC separations is a missing link in securing the viability of 2D-LC as a mainstay for industrial applications. In this work, a computer-assisted modeling approach that dramatically simplifies both offline and online 2D-LC method developments is introduced. Our methodology is based on mapping the separation landscape of pharmaceutically relevant mixtures across both first (¹D) and second (²D) dimensions using LC Simulator (ACD/Labs) software. Retention models for ¹D and ²D conditions were built using a minimal number of multifactorial modeling experiments (2 × 2 or 3 × 3 parameters: gradient slope, column temperature, and different column and mobile phase combinations). The approach was first applied to online 2D-LC analysis involving achiral and chiral separations of complex mixtures of enantiomeric species. In these experiments, the retention models proved to be quite accurate for both the ¹D and ²D separations, with retention time differences between experiments and simulations of less than 3.5%. This software-based concept was also demonstrated for offline 2D-LC purification of drug substances.

Column switching UHPLC–MS/MS with restricted access material for the determination of CNS drugs in plasma samples

Background: Polypharmacy is a common practice in schizophrenia. Consequently, therapeutic drug monitoring is usually adopted to maintain the concentrations of the drugs in the plasma within a targeted therapeutic range, to maximize therapeutic efficiency and to diminish adverse side effects. Methodology: This study reports on a column switching UHPLC–MS/MS method to determine psychotropic drugs in plasma samples simultaneously. Results: The method was linear from 0.025 to 1.25 ng ml-1 with R2 above 0.9950 and the lack of fit test (p > 0.05). The precision values presented coefficients of variation lower than 12%, and the relative standard error of the accuracy were lower than 14%. Conclusion: The column switching UHPLC–MS/MS method developed herein successfully determined drugs in schizophrenic patients’ plasma samples for therapeutic drug monitoring.