Evaluating the performances of quantitative structure-retention relationship models with different sets of molecular descriptors and databases for high-performance liquid chromatography predictions-Reference-Cited by-同舟云学术

Evaluating the performances of quantitative structure-retention relationship models with different sets of molecular descriptors and databases for high-performance liquid chromatography predictions

Published:2009-06 Issue:25 Volume:1216 Page:5030-5038
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Wang Chunlei,Skibic Michael J.,Higgs Richard E.,Watson Ian A.,Bui Hai,Wang Jibo,Cintron Jose M.

Publisher

Elsevier BV

Subject

Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry

Reference58 articles.

1. Three methods to characterize reversed phase liquid chromatographic columns applied to pharmaceutical separations

2. A fast, convenient and rugged procedure for characterizing the selectivity of alkyl-silica columns

3. Chromatographic classification and comparison of commercially available reversed-phase liquid chromatographic columns containing phenyl moieties using principal component analysis

4. Evaluation of two approaches to characterise liquid chromatographic columns using pharmaceutical separations

5. Comparative evaluation of high-performance liquid chromatography stationary phases used for the separation of peptides in terms of quantitative structure–retention relationships

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals;Journal of Chromatography A;2024-08

2. Sorption of Quinoline Derivative under Conditions of Liquid Chromatography;Russian Journal of Physical Chemistry A;2022-10

3. QSRR Approach: Application to Retention Mechanism in Liquid Chromatography;Novel Aspects of Gas Chromatography and Chemometrics [Working Title];2022-07-28

4. Perspectives and recent advances in quantitative structure-retention relationships for high performance liquid chromatography. How far are we?;TrAC Trends in Analytical Chemistry;2021-08

5. Suspect and non-target screening of reuse water by large-volume injection liquid chromatography and quadrupole time-of-flight mass spectrometry;Chemosphere;2021-03