Approaches to Accelerate Liquid Chromatography Method Development in the Laboratory Using Chemometrics and Machine Learning
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.
Approaches to Accelerate LC Method Development in the Laboratory Using Chemometrics and Machine Learning
This review examines different workflows that have been designed and used to facilitate and/or automate method development in liquid chromatography (LC).