Bob W.J. Pirok

This article examinations the determination of retention time and why it's important.

The authors explore computer-aided workflows and machine learning, aimed at optimizing LC parameters, focusing on kinetic and thermodynamic aspects, and proposes closed-loop optimization strategies.

This review examines different workflows that have been designed and used to facilitate and/or automate method development in liquid chromatography (LC).

On March 21, 2023, Peter Schoenmakers and Emanuela Gionfriddo received the LCGC Lifetime Achievement and the LCGC Emerging Leader in Chromatography Awards, respectively, in a symposium at Pittcon 2023 in Philadelphia. Talks in the session highlighted the awardees’ achievements, discussed recent advances in the development of analytical techniques, and addressed current challenges.

To address the quest for greater separation power, the chromatographic community developed comprehensive two-dimensional liquid chromatography (LCxLC). But even with LCxLC, it can still be challenging to analyze highly complex samples and obtain accurate and correct information. In this article, opportunities for optimizing methods for extracting maximum information from one-dimensional (1D)-LC and two-dimensional (2D)-LC chromatographic data are explained.