Prediction of retention in reversed-phase liquid chromatography by means of the polarity parameter model

Polarity Parameter ◽

Prediction Of Retention ◽

Application of artificial neural networks for prediction of retention factors of triazine herbicides in reversed-phase liquid chromatography

Journal of Chromatography A ◽

10.1016/j.chroma.2005.04.038 ◽

2005 ◽

Vol 1076 (1-2) ◽

pp. 163-169 ◽

Cited By ~ 39

Author(s):

Fabrizio Ruggieri ◽

Angelo Antonio D’Archivio ◽

Giuseppe Carlucci ◽

Pietro Mazzeo

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Liquid Chromatography ◽

Reversed Phase ◽

Triazine Herbicides ◽

Retention Factors ◽

Prediction Of Retention ◽

Phase Liquid ◽

Artificial Neural

Efficiency of a solvatic sorption model for the prediction of retention times in linear gradient reversed-phase liquid chromatography working with different stationary phases

Proceedings of the Estonian Academy of Sciences ◽

10.3176/proc.2016.1.03 ◽

2016 ◽

Vol 65 (1) ◽

pp. 37 ◽

Cited By ~ 1

Author(s):

S Vorslova ◽

J Golushko ◽

S Galushko ◽

A Viksna

Keyword(s):

Liquid Chromatography ◽

Stationary Phases ◽

Reversed Phase ◽

Sorption Model ◽

Linear Gradient ◽

Prediction Of Retention ◽

Phase Liquid ◽

Prediction Of Retention Times

Modeling and predicting the solute polarity parameter in reversed-phase liquid chromatography using quantitative structure-property relationship approaches

Journal of Separation Science ◽

10.1002/jssc.201700603 ◽

2017 ◽

Vol 40 (23) ◽

pp. 4495-4502

Author(s):

Hassan Golmohammadi ◽

Zahra Dashtbozorgi ◽

Sajad Khooshechin

Keyword(s):

Liquid Chromatography ◽

Reversed Phase ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Polarity Parameter ◽

Prediction of retention time in reversed-phase liquid chromatography as a tool for steroid identification

Analytica Chimica Acta ◽

10.1016/j.aca.2016.02.014 ◽

2016 ◽

Vol 916 ◽

pp. 8-16 ◽

Cited By ~ 38

Author(s):

Giuseppe Marco Randazzo ◽

David Tonoli ◽

Stephanie Hambye ◽

Davy Guillarme ◽

Fabienne Jeanneret ◽

...

Keyword(s):

Liquid Chromatography ◽

Retention Time ◽

Reversed Phase ◽

Prediction Of Retention ◽

Some observations on the prediction of retention in reversed-phase liquid chromatography using the pH as main factor

Analytica Chimica Acta ◽

10.1016/j.aca.2004.05.035 ◽

2004 ◽

Vol 521 (1) ◽

pp. 61-68 ◽

Cited By ~ 7

Author(s):

J.J Baeza-Baeza ◽

M.C Garcı́a-Alvarez-Coque

Keyword(s):

Liquid Chromatography ◽

Reversed Phase ◽

Prediction Of Retention ◽

Phase Liquid ◽

Main Factor

Prediction of retention of hydroxyl aromatics in reversed-phase liquid chromatography with slope-intercept relationships

Journal of Chromatography A ◽

10.1016/s0021-9673(00)91682-0 ◽

1986 ◽

Vol 360 ◽

pp. 313-325 ◽

Cited By ~ 19

Author(s):

Howard A. Cooper ◽

Robert J. Hurtubise

Keyword(s):

Liquid Chromatography ◽

Reversed Phase ◽

Prediction Of Retention ◽

Interaction indexes for prediction of retention in reversed-phase liquid chromatography

Analytical Chemistry ◽

10.1021/ac00240a020 ◽

1982 ◽

Vol 54 (3) ◽

pp. 435-441 ◽

Cited By ~ 142

Author(s):

P. Jandera ◽

H. Colin ◽

G. Guiochon

Keyword(s):

Liquid Chromatography ◽

Reversed Phase ◽

Prediction Of Retention ◽

Analysis of a solute polarity parameter in reversed-phase liquid chromatography on a linear solvation relationship basis

Analytica Chimica Acta ◽

10.1016/j.aca.2004.01.056 ◽

2004 ◽

Vol 515 (1) ◽

pp. 209-227 ◽

Cited By ~ 47

Author(s):

J.R Torres-Lapasió ◽

M.C Garcı́a-Alvarez-Coque ◽

M Rosés ◽

E Bosch ◽

A.M Zissimos ◽

...

Keyword(s):

Liquid Chromatography ◽

Reversed Phase ◽

Polarity Parameter ◽

Phase Liquid ◽

Linear Solvation

QSPR STUDY OF THE SOLUTE POLARITY PARAMETER IN REVERSED-PHASE LIQUID CHROMATOGRAPHY USING PARTIAL LEAST SQUARES AND ARTIFICIAL NEURAL NETWORK

Journal of Liquid Chromatography &amp Related Technologies ◽

10.1080/10826076.2011.644056 ◽

2012 ◽

Vol 36 (1) ◽

pp. 127-142

Author(s):

Zahra Dashtbozorgi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Liquid Chromatography ◽

Least Squares ◽

Partial Least Squares ◽

Reversed Phase ◽

Polarity Parameter ◽

Phase Liquid ◽

Qspr Study

Support Vector Regression Based QSPR for the Prediction of Retention Time of Peptides in Reversed-Phase Liquid Chromatography

Chromatographia ◽

10.1007/s10337-014-2819-1 ◽

2014 ◽

Vol 78 (1-2) ◽

pp. 7-19 ◽

Cited By ~ 10

Author(s):

Hassan Golmohammadi ◽

Zahra Dashtbozorgi ◽

Yvan Vander Heyden

Keyword(s):

Liquid Chromatography ◽

Support Vector Regression ◽

Retention Time ◽

Reversed Phase ◽

Support Vector ◽

Prediction Of Retention ◽