Multi-variable retention modelling in reversed-phase high-performance liquid chromatography based on the solvation method: a comparison between curvilinear and artificial neural network regression
Dipartimento di Chimica, Ingegneria Chimica e Materiali, Università degli Studi dell'Aquila, Via Vetoio, 67010 Coppito, L'Aquila, Italy. angeloantonio.darchivio@univaq.it