Literature DB >> 7718429

Evaluation of liquid chromatography coupled with high-field 1H NMR spectroscopy for drug metabolite detection and characterization: the identification of paracetamol metabolites in urine and bile.

M Spraul1, M Hofmann, J C Lindon, R D Farrant, M J Seddon, J K Nicholson, I D Wilson.   

Abstract

The applicability of coupled reversed-phase high performance liquid chromatography (HPLC)-NMR spectroscopy for the detection and identification of paracetamol (N-(4-hydroxyphenyl)acetamide) and its sulfate, glucuronide and N-acetylcysteinyl metabolites in the unprocessed biological fluids, human urine, rat urine and rat bile, is investigated. Analysis of these samples was performed by gradient HPLC elution and directly coupled 500 MHz 1H NMR spectroscopy detection using a combination of one- and two-dimensional NMR methods in stopped-flow mode. The stopped-flow approach is demonstrated to be an efficient technique for identification of drug metabolites which have, for example, a UV-chromophore. Stopped-flow HPLC analysis with NMR detection is a viable technique and halting the chromatographic process several times during a run has a negligible effect on the separation and NMR characterization. The post-acquisition data processing method of 'quantified maximum entropy' is shown to provide a means of improving the quality of spectra for minor components, thus aiding NMR resonance assignments.

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Year:  1994        PMID: 7718429     DOI: 10.1002/nbm.1940070702

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  2 in total

1.  Identification of sulfation sites of metabolites and prediction of the compounds' biological effects.

Authors:  Lin Yi; Joe Dratter; Chao Wang; Jon A Tunge; Heather Desaire
Journal:  Anal Bioanal Chem       Date:  2006-05-25       Impact factor: 4.142

2.  Liquid chromatography "on-flow" 1H nuclear magnetic resonance on native glycosphingolipid mixtures together with gas chromatography/mass spectrometry on the released oligosaccharides for screening and characterisation of carbohydrate-based antigens from pig lungs.

Authors:  A E Bäcker; S Thorbert; O Rakotonirainy; E C Hallberg; A Olling; M Gustavsson; B E Samuelsson; B Soussi
Journal:  Glycoconj J       Date:  1999-01       Impact factor: 2.916

  2 in total

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