4.6 Article

Very high pressure liquid chromatography using core-shell particles: Quantitative analysis of fast gradient separations without post-run times

期刊

JOURNAL OF CHROMATOGRAPHY A
卷 1325, 期 -, 页码 99-108

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2013.11.058

关键词

Constant pressure liquid chromatography; Reproducibility of peak areas; Thermal equilibrium; Programmed flow conditions

资金

  1. US Department of Energy [DE-FG05-88-ER-13869]
  2. University of Tennessee
  3. Oak Ridge National Laboratory

向作者/读者索取更多资源

Five methods for controlling the mobile phase flow rate for gradient elution analyses using very high pressure liquid chromatography (VHPLC) were tested to determine thermal stability of the column during rapid gradient separations. To obtain rapid separations, instruments are operated at high flow rates and high inlet pressure leading to uneven thermal effects across columns and additional time needed to restore thermal equilibrium between successive analyses. The purpose of this study is to investigate means to minimize thermal instability and obtain reliable results by measuring the reproducibility of the results of six replicate gradient separations of a nine component RPLC standard mixture under various experimental conditions with no post-run times. Gradient separations under different conditions were performed: constant flow rates, two sets of constant pressure operation, programmed flow constant pressure operation, and conditions which theoretically should yield a constant net heat loss at the column's wall. The results show that using constant flow rates, programmed flow constant pressures, and constant heat loss at the column's wall all provide reproducible separations. However, performing separations using a high constant pressure with programmed flow reduces the analysis time by 16% compared to constant flow rate methods. For the constant flow rate, programmed flow constant pressure, and constant wall heat experiments no equilibration time (post-run time) was required to obtain highly reproducible data (C) 2013 Elsevier B.V. All rights reserved.

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