Literature DB >> 25496658

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

Baijie Peng1, Mei-Yi Kuo2, Panhia Yang3, Joshua T Hewitt4, Paul G Boswell5.   

Abstract

Compound identification continues to be a major challenge. Gas chromatography-mass spectrometry (GC-MS) is a primary tool used for this purpose, but the GC retention information it provides is underutilized because existing retention databases are experimentally restrictive and unreliable. A methodology called "retention projection" has the potential to overcome these limitations, but it requires the retention factor (k) vs. T relationship of a compound to calculate its retention time. Direct methods of measuring k vs. T relationships from a series of isothermal runs are tedious and time-consuming. Instead, a series of temperature programs can be used to quickly measure the k vs. T relationships, but they are generally not as accurate when measured this way because they are strongly biased by non-ideal behavior of the GC system in each of the runs. In this work, we overcome that problem by using the retention times of 25 n-alkanes to back-calculate the effective temperature profile and hold-up time vs. T profiles produced in each of the six temperature programs. When the profiles were measured this way and taken into account, the k vs. T relationships measured from each of two different GC-MS instruments were nearly as accurate as the ones measured isothermally, showing less than two-fold more error. Furthermore, temperature-programmed retention times calculated in five other laboratories from the new k vs. T relationships had the same distribution of error as when they were calculated from k vs. T relationships measured isothermally. Free software was developed to make the methodology easy to use. The new methodology potentially provides a relatively fast and easy way to measure unbiased k vs. T relationships.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gas chromatography–mass spectrometry; Retention database.; Retention library; Retention prediction; Retention projection

Mesh:

Year:  2014        PMID: 25496658      PMCID: PMC4271545          DOI: 10.1016/j.chroma.2014.11.018

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


  14 in total

1.  A GENERALIZATION OF THE RETENTION INDEX SYSTEM INCLUDING LINEAR TEMPERATURE PROGRAMMED GAS-LIQUID PARTITION CHROMATOGRAPHY.

Authors:  H VANDENDOOL; P D KRATZ
Journal:  J Chromatogr       Date:  1963-08

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.  Prediction of retention times and peak widths in temperature-programmed gas chromatography using the finite element method.

Authors:  Fredrik Aldaeus; Yasar Thewalim; Anders Colmsjö
Journal:  J Chromatogr A       Date:  2008-11-19       Impact factor: 4.759

5.  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

6.  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

7.  jmzML, an open-source Java API for mzML, the PSI standard for MS data.

Authors:  Richard G Côté; Florian Reisinger; Lennart Martens
Journal:  Proteomics       Date:  2010-04       Impact factor: 3.984

8.  A standardized method for the calibration of thermodynamic data for the prediction of gas chromatographic retention times.

Authors:  Teague M McGinitie; Heshmatollah Ebrahimi-Najafabadi; James J Harynuk
Journal:  J Chromatogr A       Date:  2014-01-15       Impact factor: 4.759

Review 9.  Determination of sets of solute descriptors from chromatographic measurements.

Authors:  Michael H Abraham; Adam Ibrahim; Andreas M Zissimos
Journal:  J Chromatogr A       Date:  2004-05-28       Impact factor: 4.759

10.  jmzReader: A Java parser library to process and visualize multiple text and XML-based mass spectrometry data formats.

Authors:  Johannes Griss; Florian Reisinger; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Proteomics       Date:  2012-03       Impact factor: 3.984

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