Literature DB >> 19081102

Retention models for programmed gas chromatography.

G Castello1, P Moretti, S Vezzani.   

Abstract

The models proposed by many authors for the prediction of retention times and temperatures, peak widths, retention indices and separation numbers in programmed temperature and pressure gas chromatography by starting from preliminary measurements of the retention in isothermal and isobaric conditions are reviewed. Several articles showing the correlation between retention data and thermodynamic parameters and the determination of the optimum programming rate are reported. The columns of different polarity used for the experimental measurement and the main equations, mathematical models and calculation procedures are listed. An empirical approach was used in the early models, followed by the application of thermodynamic considerations, iterative calculation procedures and statistical methods, based on increased computing power now available. Multiple column arrangements, simultaneous temperature and pressure programming, applications of two-dimensional and fast chromatography are summarised.

Mesh:

Year:  2008        PMID: 19081102     DOI: 10.1016/j.chroma.2008.11.049

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  3 in total

1.  iMatch: a retention index tool for analysis of gas chromatography-mass spectrometry data.

Authors:  Jun Zhang; Aiqin Fang; Bing Wang; Seong Ho Kim; Bogdan Bogdanov; Zhanxiang Zhou; Craig McClain; Xiang Zhang
Journal:  J Chromatogr A       Date:  2011-07-23       Impact factor: 4.759

2.  Easy and accurate calculation of programmed temperature gas chromatographic retention times by back-calculation of temperature and hold-up time profiles.

Authors:  Paul G Boswell; Peter W Carr; Jerry D Cohen; Adrian D Hegeman
Journal:  J Chromatogr A       Date:  2012-09-23       Impact factor: 4.759

3.  Multi-platform metabolomic analyses of ergosterol-induced dynamic changes in Nicotiana tabacum cells.

Authors:  Fidele Tugizimana; Paul A Steenkamp; Lizelle A Piater; Ian A Dubery
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

  3 in total

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