Isabelle Kohler | Authors

In the second part of this review article, the recent progress in SFC for enantiomeric separations is evaluated. Several applications reported on the enantioselective separation of drugs and pharmaceutical compounds using chiral SFC are discussed, including pharmaceutical applications, clinical research, forensic toxicology, and environmental sciences.

With the substantial developments carried out over the past years in instrumentation, columns, and detector hyphenation, the interest in chiral supercritical fluid chromatography (SFC) has been steadily growing in various fields. In the first part of this review article, the theoretical advantages, technological developments, and common practices in chiral SFC are discussed.

Reversed-phase LC–MS has limitations in numerous analytical applications. Alternative MS-compatible chromatographic techniques separate analytes in the liquid phase based on different retention mechanisms compared with reversed-phase LC. This article describes these alternative chromatographic approaches, relevant applications, and the future of these techniques.

In many applications, LC–MS approaches using HILIC, SFC, SEC, IEC, and HIC offer advantages over conventional reversed-phase LC–MS. The examples presented here should inspire you to consider these options for your analyses.

Clinical metabolomics requires analytical methods that provide both high resolution and high throughput. In this review, we assess the promise of a variety of techniques-including HILIC, SFC, multidimensional LC, ion-mobility mass spectrometry, and data-independent acquisition mass spectrometry methods-to meet those needs.

This review article discusses the novel separation and detection strategies that are considered promising in clinical metabolomics to enhance the metabolome coverage. It includes hydrophilic interaction chromatography (HILIC), supercritical fluid chromatography (SFC), multidimensional LC approaches, as well as ion-mobility mass spectrometry (IM-MS) and data-independent acquisition (DIA) analysis methods.