Literature DB >> 18817918

Improved liquid chromatography-Online radioactivity detection for metabolite profiling.

Filip Cuyckens1, Valerie Koppen, Rainer Kembuegler, Laurent Leclercq.   

Abstract

If very-high-pressure liquid chromatography (VHPLC) is to replace conventional HPLC as the ultimate separation tool for metabolism studies in development, coupling it efficiently with online radioactivity detection (RAD) is needed. We describe the successful combination of VHPLC/RAD, facilitated by improvements in online radioactivity detection, as well as in column loading and peak capacity. The sensitivity of (14)C detection was improved by the use of a variable scintillation flow achieved via a simple modification to the classical online radiochemical detection set-up. A modification of the flow-through cell design in which internal diameter of the tubing was reduced further increased the sensitivity and resolution by decreasing peak tailing. The injection of relatively large injection volumes was made possible by the use of columns packed at ultra-high pressure with 2.2 microm particles. Because of the reduced back pressure generated using these larger particle sizes, two 150 mm x 3 mm columns could be coupled, allowing 4-fold larger injection volumes and a 50% increase in theoretical plate number at a similar back pressure compared to a standard 150 mm x 2.1mm Waters UPLC column. The value of the methodology described was demonstrated by the analysis of in vitro and in vivo metabolism samples of (3)H- and (14)C-labeled compounds and compared with conventional radio-HPLC. We have shown that metabolite separation can be achieved with increased efficiency while maintaining a sensitivity comparable to that of conventional HPLC/RAD.

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Year:  2008        PMID: 18817918     DOI: 10.1016/j.chroma.2008.09.002

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


  1 in total

1.  A unique automation platform for measuring low level radioactivity in metabolite identification studies.

Authors:  Joel Krauser; Markus Walles; Thierry Wolf; Daniel Graf; Piet Swart
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

  1 in total

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