Tijmen S. Bos

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).