Quantitative structure–retention relationship modeling of gas chromatographic retention times based on thermodynamic data-Reference-Cited by-同舟云学术

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Quantitative structure–retention relationship modeling of gas chromatographic retention times based on thermodynamic data

Published:2014-09 Issue: Volume:1358 Page:225-231
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Ebrahimi-Najafabadi Heshmatollah,McGinitie Teague M.,Harynuk James J.

Funder

Alberta Innovates - Technology Futures

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry

Reference29 articles.

1. Experimental variables in GC×GC: a complex interplay;Harynuk;Am. Lab.,2007

2. Prediction of retention times of polycyclic aromatic hydrocarbons and n-alkanes in temperature-programmed gas chromatography;Aldaeus;Anal. Bioanal. Chem.,2007

3. Prediction, optimization of separation, and identification of unknown compounds in capillary gas chromatography;Guan;J. High Resolut. Chromatogr.,1992

4. A large scale test dataset to determine optimal retention index threshold based on three mass spectral similarity measures;Zhang;J. Chromatogr. A,2012

5. Predictions of comprehensive two-dimensional gas chromatography separations from isothermal data;Zhu;J. Chromatogr. A,2012

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1. Modeling approaches for temperature-programmed gas chromatographic retention times under vacuum outlet conditions;Journal of Chromatography A;2021-08

2. Evaluation of the solvation parameter model as a quantitative structure-retention relationship model for gas and liquid chromatography;Journal of Chromatography A;2020-08

3. Simulation of fatty acid peak profile on a 100-m CP-Sil 88 column and application for analysis of commercial trans fat alternatives in Thailand;Journal of Food Composition and Analysis;2020-08

4. A simple, fast, and accurate thermodynamic-based approach for transfer and prediction of gas chromatography retention times between columns and instruments Part I: Estimation of reference column geometry and thermodynamic parameters;Journal of Separation Science;2018-05-02

5. Gibbs energy additivity approaches to QSRR in generating gas chromatographic retention time for identification of fatty acid methyl ester;Analytical and Bioanalytical Chemistry;2017-02-06

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