AI method predicts retention times of small molecules more reliably

Researchers developed a machine learning tool called 2-step that predicts small-molecule retention times in reversed-phase liquid chromatography. The model estimates a molecule's relative elution order first and then converts that ranking into specific times using a few reference points. Analysts can now identify unknown compounds on unfamiliar instrument setups without running extensive sets of chemical standards.

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