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Rational column selection approach for purity determination of chemical reference standards of natural products based on a column characterization database

Authors :
Ming-juan Wang
Erwin Adams
Jos Hoogmartens
Zhong Dai
Hongyu Jin
Shuangcheng Ma
Source :
Chinese Journal of Chromatography. 35:196
Publication Year :
2017
Publisher :
China Science Publishing & Media Ltd., 2017.

Abstract

Organic impurity determination is a critical aspect since it has a great impact on the assigned content of chemical reference standards (CRS). This is especially the case for CRS of natural products (CRSNPs) which are mostly obtained from medicinal plants or animals. Total amount of organic impurities of CRSNPs is generally determined by high performance liquid chromatography based on official or reported methods. Since the brand of column is not always prescribed or when the brand prescribed is not available in the laboratory, this can cause serious consequences, especially when the sample contains a basic or weak acid compound with p K a values ranged from 3 to 6. In this paper, columns were originally selected based on a peer-reviewed column characterization database. Firstly two columns with orthogonal selectivity (selectivity factor F ≥6) were selected from the database to determine the purity of the respective CRSNPs. The selection was performed to minimize the risk to obtain different values caused by use of various brands of columns. If there is no significant difference between their results, then the purity result is cross-validated. Otherwise, a third column has to be selected from the database and its selectivity should be similar to the above one which give better separation ( F ≤2). The approach has been illustrated by the purity determinations of N - trans - p -coumaroyltyramine and (-)-epicatechin-3- O -gallate CRSNPs, and it is most likely to be applied in more CRSNPs, especially those of basic or weak acid ones.

Details

ISSN :
10008713
Volume :
35
Database :
OpenAIRE
Journal :
Chinese Journal of Chromatography
Accession number :
edsair.doi...........ebafca2962562a64dfa40a19805daf45
Full Text :
https://doi.org/10.3724/sp.j.1123.2016.07013