Literature DB >> 24912845

A universal quantitative ¹H nuclear magnetic resonance (qNMR) method for assessing the purity of dammarane-type ginsenosides.

Ze Yun Li1, Edward Welbeck, Ru Feng Wang, Qing Liu, Ying Bo Yang, Gui Xin Chou, Kai Shun Bi, Zheng Tao Wang.   

Abstract

INTRODUCTION: Quantitative (1)H-NMR (qNMR) is a well-established method for quantitative analysis and purity tests. Applications have been reported in many areas, such as natural products, foods and beverages, metabolites, pharmaceuticals and agriculture. The characteristics of quantitative estimation without relying on special target reference substances make qNMR especially suitable for purity tests of chemical compounds and natural products. Ginsenosides are a special group of natural products drawing broad attention, and are considered to be the main bioactive principles behind the claims of ginsengs efficacy. The purity of ginsenosides is usually determined by conventional chromatographic methods, although these may not be ideal due to the response of detectors to discriminate between analytes and impurities and the long run times involved.
OBJECTIVE: To establish a qNMR method for purity tests of six dammarane-type ginsenoside standards.
METHODS: Several experimental parameters were optimised for the quantification, including relaxation delay (D1), the transmitter frequency offset (O1P) and power level for pre-saturation (PL9). The method was validated and the purity of the six ginsenoside standards was tested. Also, the results of the qNMR method were further validated by comparison with those of high performance liquid chromatography.
CONCLUSION: The qNMR method was rapid, specific and accurate, thus providing a practical and reliable protocol for the purity analysis of ginsenoside standards.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  HPLC/UV; ginsenosides; purity; qNMR

Mesh:

Substances:

Year:  2014        PMID: 24912845     DOI: 10.1002/pca.2527

Source DB:  PubMed          Journal:  Phytochem Anal        ISSN: 0958-0344            Impact factor:   3.373


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