From Peaks to Patterns: AI’s Transformation of Separation Science

Author(s)Tony Edge, Daniela Pedersen, Bruce Upbin

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s transformative benefits for the future, looking at the impacts that separation scientists will inevitably see and are already seeing.

Chromatography, a cornerstone of analytical chemistry, has long relied on empirical methods and expert intuition. However, the advent of artificial intelligence (AI) is ushering in a new era of precision, efficiency, and discovery (1). It is an exciting era to be in as a separation scientist, but with this excitement comes a trepidation of what the future will bring—whether there will still be a need for human expertise, or if advances in automation will fully take over tasks such as method development and data interpretation.