Modeling and predicting the solute polarity parameter in reversed-phase liquid chromatography using quantitative structure-property relationship approaches-Reference-Cited by-同舟云学术

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

Published:2017-10-12 Issue:23 Volume:40 Page:4495-4502
ISSN:1615-9306
Container-title:Journal of Separation Science
language:en
Short-container-title:J. Sep. Sci.

Author:

Golmohammadi Hassan¹^ORCID,Dashtbozorgi Zahra²,Khooshechin Sajad²

Affiliation:

1. Young Researchers and Elite Club, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch; Islamic Azad University; Tehran Iran

2. Young Researchers and Elite Club, Central Tehran Branch; Islamic Azad University; Tehran Iran

Publisher

Wiley

Subject

Filtration and Separation,Analytical Chemistry

Reference56 articles.

1. QSPR models for estimating retention in HPLC with the p solute polarity parameter based on the Monte Carlo method;Veselinovic;Struct. Chem.,2016

2. Introduction to Modern Liquid Chromatography

3. Prediction of retention in reversed-phase liquid chromatography by means of the polarity parameter model;Lázaro;J. Chromatogr. A,2009

4. Study of retention in reversed-phase liquid chromatography using linear solvation energy relationships I. The stationary phase;Tan;J. Chromatogr. A,1996

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