Real-Time 2D NMR Identification of Analytes Undergoing Continuous Chromatographic Separation
We have recently proposed and demonstrated an approach that enables the acquisition of multidimensional nuclear magnetic resonance (NMR) spectra within a single scan. A promising application opened up by this new accelerated form of data acquisition concerns the possibility of monitoring in real tim...
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Published in | Journal of the American Chemical Society Vol. 126; no. 4; pp. 1262 - 1265 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Washington, DC
American Chemical Society
04.02.2004
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Subjects | |
Online Access | Get full text |
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Summary: | We have recently proposed and demonstrated an approach that enables the acquisition of multidimensional nuclear magnetic resonance (NMR) spectra within a single scan. A promising application opened up by this new accelerated form of data acquisition concerns the possibility of monitoring in real time the chemical nature of analytes subject to a continuous flow. The present paper illustrates such potential, with the real-time acquisition of a series of 2D 1H NMR spectra arising from a mixture of compounds subject to a continuous liquid chromatography (LC) separation. This real-time 2D NMR identification of chemicals eluted minutes apart under usual LC−NMR conditions differs from the way in which LC−2D NMR has hitherto been carried out, which relies on stopped-flow modes of operations whereby fractions are first collected and then subject to individual, aliquot-by-aliquot analyses. The real-time LC−2D NMR experiment hereby introduced can be implemented in a straightforward manner using modern commercial LC−NMR hardware, thus opening up immediate possibilities in high-throughput characterizations of complex molecules. |
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Bibliography: | istex:DA7E4E32C53619C532D07E43F549A972E2AA5FFB ark:/67375/TPS-M0HKLZN3-Z ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0002-7863 1520-5126 |
DOI: | 10.1021/ja0389422 |