Literature DB >> 23040964

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

Paul G Boswell1, Peter W Carr, Jerry D Cohen, Adrian D Hegeman.   

Abstract

Linear retention indices are commonly used to identify compounds in programmed-temperature gas chromatography (GC), but they are unreliable unless the original experimental conditions used to measure them are stringently reproduced. However, differences in many experimental conditions may be properly taken into account by calculating programmed-temperature retention times of compounds from their measured isothermal retention vs. temperature relationships. We call this approach "retention projection". Until now, retention projection has been impractical because it required very precise, meticulous measurement of the temperature vs. time and hold-up time vs. temperature profiles actually produced by a specific GC instrument to be accurate. Here we present a new, easy-to-use methodology to precisely measure those profiles: we spike a sample with 25 n-alkanes and use their measured, programmed-temperature retention times to precisely back-calculate what the instrument profiles must have been. Then, when we use those back-calculated profiles to project retention times of 63 chemically diverse compounds, we found that the projections are extremely accurate (e.g. to ±0.9 s in a 40 min ramp). They remained accurate with different temperature programs, GC instruments, inlet pressures, flow rates, and with columns taken from different batches of stationary phase while the accuracy of retention indices became worse the more the experimental conditions were changed from the original ones used to measure them. We also developed new, open-source software (http://www.retentionprediction.org/gc) to demonstrate the system.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23040964      PMCID: PMC3478941          DOI: 10.1016/j.chroma.2012.09.048

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


  11 in total

1.  Rapid temperature-programmed separation and retention prediction on a novel packed-capillary column in gas chromatography.

Authors:  Mitsuru Inoue; Yoshihiro Saito; Ikuo Ueta; Tomoya Miura; Hironobu Ohkita; Koji Fujimura; Kiyokatsu Jinno
Journal:  Anal Sci       Date:  2010       Impact factor: 2.081

Review 2.  The chemical interpretation and practice of linear solvation energy relationships in chromatography.

Authors:  Mark Vitha; Peter W Carr
Journal:  J Chromatogr A       Date:  2006-08-04       Impact factor: 4.759

3.  Conversion of programmed-temperature retention indices from one set of conditions to another.

Authors:  Chen-Xi Zhao; Ting Zhang; Yi-Zeng Liang; Da-Lin Yuan; Ying-Xu Zeng; Qing-Song Xu
Journal:  J Chromatogr A       Date:  2007-01-17       Impact factor: 4.759

4.  Development of a database of gas chromatographic retention properties of organic compounds.

Authors:  V I Babushok; P J Linstrom; J J Reed; I G Zenkevich; R L Brown; W G Mallard; S E Stein
Journal:  J Chromatogr A       Date:  2007-05-18       Impact factor: 4.759

Review 5.  Retention models for programmed gas chromatography.

Authors:  G Castello; P Moretti; S Vezzani
Journal:  J Chromatogr A       Date:  2008-11-25       Impact factor: 4.759

6.  Solute descriptors for characterizing retention properties of open-tubular columns of different selectivity in gas chromatography at intermediate temperatures.

Authors:  Sanka N Atapattu; Colin F Poole
Journal:  J Chromatogr A       Date:  2008-05-07       Impact factor: 4.759

7.  Revised solute descriptors for characterizing retention properties of open-tubular columns in gas chromatography and their application to a carborane-siloxane copolymer stationary phase.

Authors:  Colin F Poole; Hamid Ahmed; Waruna Kiridena; Cheryl C Patchett; Wladyslaw W Koziol
Journal:  J Chromatogr A       Date:  2005-12-15       Impact factor: 4.759

8.  Easy and accurate high-performance liquid chromatography retention prediction with different gradients, flow rates, and instruments by back-calculation of gradient and flow rate profiles.

Authors:  Paul G Boswell; Jonathan R Schellenberg; Peter W Carr; Jerry D Cohen; Adrian D Hegeman
Journal:  J Chromatogr A       Date:  2011-07-30       Impact factor: 4.759

9.  A study on retention "projection" as a supplementary means for compound identification by liquid chromatography-mass spectrometry capable of predicting retention with different gradients, flow rates, and instruments.

Authors:  Paul G Boswell; Jonathan R Schellenberg; Peter W Carr; Jerry D Cohen; Adrian D Hegeman
Journal:  J Chromatogr A       Date:  2011-08-06       Impact factor: 4.759

10.  [A method of characterization of the liquids used for separation in gas chromatography].

Authors:  I Rohrschneider
Journal:  J Chromatogr       Date:  1966-04
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  3 in total

1.  "Retention projection" enables reliable use of shared gas chromatographic retention data across laboratories, instruments, and methods.

Authors:  Brian B Barnes; Michael B Wilson; Peter W Carr; Mark F Vitha; Corey D Broeckling; Adam L Heuberger; Jessica Prenni; Gregory C Janis; Henry Corcoran; Nicholas H Snow; Shilpi Chopra; Ramkumar Dhandapani; Amanda Tawfall; Lloyd W Sumner; Paul G Boswell
Journal:  Anal Chem       Date:  2013-11-19       Impact factor: 6.986

2.  A practical methodology to measure unbiased gas chromatographic retention factor vs. temperature relationships.

Authors:  Baijie Peng; Mei-Yi Kuo; Panhia Yang; Joshua T Hewitt; Paul G Boswell
Journal:  J Chromatogr A       Date:  2014-11-13       Impact factor: 4.759

3.  What experimental factors influence the accuracy of retention projections in gas chromatography-mass spectrometry?

Authors:  Michael B Wilson; Brian B Barnes; Paul G Boswell
Journal:  J Chromatogr A       Date:  2014-11-18       Impact factor: 4.759

  3 in total

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