Advancing Fundamental Understanding of Retention Interactions in Supercritical Fluid Chromatography Using Artificial Neural Networks: Polar Stationary Phases with -OH Moieties.

ABSTRACT: The retention behavior in supercritical fluid chromatography and its stability over time are still unsatisfactorily explained phenomena despite many important contributions in recent years, especially focusing on linear solvation energy relationship modeling. We studied polar stationary phases with predominant -OH functionalities, i.e., silica, hybrid silica, and diol columns, and their retention behavior over time. We correlated molecular descriptors of analytes with their retention using three organic modifiers of the CO₂-based mobile phase. The differences in retention behavior caused by using additives, namely, 10 mmol/L NH₃ and 2% H₂O in methanol, were described in correlation to analyte properties and compared with the CO₂/methanol mobile p

SUBMITTER: Plachka K 

PROVIDER: S-EPMC11307250 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature