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...

Full description

Saved in:
Bibliographic Details
Published inJournal of the American Chemical Society Vol. 126; no. 4; pp. 1262 - 1265
Main Authors Shapira, Boaz, Karton, Amir, Aronzon, Dina, Frydman, Lucio
Format Journal Article
LanguageEnglish
Published Washington, DC American Chemical Society 04.02.2004
Subjects
Online AccessGet full text

Cover

Loading…
More Information
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.
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