Literature DB >> 25441073

"Measure Your Gradient": a new way to measure gradients in high performance liquid chromatography by mass spectrometric or absorbance detection.

Megan H Magee1, Joseph C Manulik2, Brian B Barnes3, Daniel Abate-Pella4, Joshua T Hewitt5, Paul G Boswell6.   

Abstract

The gradient produced by an HPLC is never the same as the one it is programmed to produce, but non-idealities in the gradient can be taken into account if they are measured. Such measurements are routine, yet only one general approach has been described to make them: both HPLC solvents are replaced with water, solvent B is spiked with 0.1% acetone, and the gradient is measured by UV absorbance. Despite the widespread use of this procedure, we found a number of problems and complications with it, mostly stemming from the fact that it measures the gradient under abnormal conditions (e.g. both solvents are water). It is also generally not amenable to MS detection, leaving those with only an MS detector no way to accurately measure their gradients. We describe a new approach called "Measure Your Gradient" that potentially solves these problems. One runs a test mixture containing 20 standards on a standard stationary phase and enters their gradient retention times into open-source software available at www.measureyourgradient.org. The software uses the retention times to back-calculate the gradient that was truly produced by the HPLC. Here we present a preliminary investigation of the new approach. We found that gradients measured this way are comparable to those measured by a more accurate, albeit impractical, version of the conventional approach. The new procedure worked with different gradients, flow rates, column lengths, inner diameters, on two different HPLCs, and with six different batches of the standard stationary phase.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Liquid chromatography–mass spectrometry; Measure HPLC Gradient; Retention prediction; Retention projection; Retention time calculation; System suitability check

Mesh:

Substances:

Year:  2014        PMID: 25441073      PMCID: PMC4254567          DOI: 10.1016/j.chroma.2014.09.084

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


  17 in total

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Authors:  Adam P Schellinger; Dwight R Stoll; Peter W Carr
Journal:  J Chromatogr A       Date:  2005-02-04       Impact factor: 4.759

2.  A practical approach to transferring linear gradient elution methods.

Authors:  Adam P Schellinger; Peter W Carr
Journal:  J Chromatogr A       Date:  2005-06-10       Impact factor: 4.759

3.  Column equilibration effects in gradient elution in reversed-phase liquid chromatography.

Authors:  A Pappa-Louisi; P Nikitas; P Agrafiotou
Journal:  J Chromatogr A       Date:  2006-06-23       Impact factor: 4.759

4.  Peak compression in reversed-phase gradient elution.

Authors:  Uwe D Neue; Daniel H Marchand; Lloyd R Snyder
Journal:  J Chromatogr A       Date:  2006-02-13       Impact factor: 4.759

5.  Influence of frictional heating on temperature gradients in ultra-high-pressure liquid chromatography on 2.1mm I.D. columns.

Authors:  André de Villiers; Henk Lauer; Roman Szucs; Stuart Goodall; Pat Sandra
Journal:  J Chromatogr A       Date:  2006-02-14       Impact factor: 4.759

6.  High-speed gradient elution reversed-phase liquid chromatography of bases in buffered eluents. Part I. Retention repeatability and column re-equilibration.

Authors:  Adam P Schellinger; Dwight R Stoll; Peter W Carr
Journal:  J Chromatogr A       Date:  2008-01-31       Impact factor: 4.759

7.  Practical assessment of frictional heating effects and thermostat design on the performance of conventional (3 microm and 5 microm) columns in reversed-phase high-performance liquid chromatography.

Authors:  Morgane M Fallas; Mark R Hadley; David V McCalley
Journal:  J Chromatogr A       Date:  2009-03-13       Impact factor: 4.759

8.  Maintaining fixed band spacing when changing column dimensions in gradient elution.

Authors:  J W Dolan; L R Snyder
Journal:  J Chromatogr A       Date:  1998-03-13       Impact factor: 4.759

9.  ProteoWizard: open source software for rapid proteomics tools development.

Authors:  Darren Kessner; Matt Chambers; Robert Burke; David Agus; Parag Mallick
Journal:  Bioinformatics       Date:  2008-07-07       Impact factor: 6.937

10.  Reversed-phase high-performance liquid chromatographic determination of taxol in mouse plasma.

Authors:  A Sharma; W D Conway; R M Straubinger
Journal:  J Chromatogr B Biomed Appl       Date:  1994-05-13
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  1 in total

1.  Retention projection enables accurate calculation of liquid chromatographic retention times across labs and methods.

Authors:  Daniel Abate-Pella; Dana M Freund; Yan Ma; Yamil Simón-Manso; Juliane Hollender; Corey D Broeckling; David V Huhman; Oleg V Krokhin; Dwight R Stoll; Adrian D Hegeman; Tobias Kind; Oliver Fiehn; Emma L Schymanski; Jessica E Prenni; Lloyd W Sumner; Paul G Boswell
Journal:  J Chromatogr A       Date:  2015-08-03       Impact factor: 4.759

  1 in total

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