Retention models for programmed gas chromatography

G Castello1, P Moretti, S Vezzani

  • 1University of Genova, Dipartimento di Chimica e Chimica Industriale, Via Dodecaneso 31, Genova I-16146, Italy. castello@chimica.unige.it

Summary

This review covers models for predicting gas chromatography retention data under programmed conditions. It details methods correlating retention data with thermodynamics and optimizing programming rates for better separation.

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