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Prediction of pesticide retention time in reversed-phase liquid chromatography using quantitative-structure retention relationship models: A comparative study of seven molecular descriptors datasets

Julien Parinet

2021Chemosphere28 citationsDOI

Topics & Concepts

Molecular descriptorSupport vector machineRetention timeChromatographyChemistryArtificial intelligenceResolution (logic)Pattern recognition (psychology)Biological systemQuantitative structure–activity relationshipMachine learningComputer scienceBiologyAnalytical Chemistry and ChromatographyMetabolomics and Mass Spectrometry StudiesPesticide Residue Analysis and Safety
Prediction of pesticide retention time in reversed-phase liquid chromatography using quantitative-structure retention relationship models: A comparative study of seven molecular descriptors datasets | Litcius