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Published in: Chinese Medicine 1/2022

01-12-2022 | Research

A strategy for quality control of ginkgo biloba preparations based on UPLC fingerprint analysis and multi-component separation combined with quantitative analysis

Authors: Li-na Liu, Hong-yu Jin, Zan Ke, Wei-yi Xu, Lei Sun, Shuang-cheng Ma

Published in: Chinese Medicine | Issue 1/2022

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Abstract

Background

Many studies have assessed the fingerprint and quantitative analysis of Ginkgo biloba preparations, but the fingerprint mainly focuses on flavonoid glycosides. However, according to our previous study, the differences among diverse manufacturers mainly involve organic acids.

Methods

A novel reverse-phase liquid chromatography assay using diode array detection was developed for evaluating Ginkgo biloba preparations for quality based on a chromatographic fingerprint allowing the simultaneous assessment of eleven compounds, including four organic acids, six flavonol glycosides and one flavonoid aglycone. And the method was applied to 51 batches of Ginkgo biloba preparations from manufacturers in China. Chemometric approaches were performed for evaluating 51 batches of Ginkgo biloba preparations from various manufacturers.

Results

The similarity values among the chromatograms of 51 samples ranged from 0.45 to 1.00, showing that the quality of Ginkgo biloba preparations produced by different manufacturers varied greatly. Data analysis of the 51 batches of GBP samples suggested significant variations of the total contents of all 11 targets, also demonstrating the quality difference of GBP samples. There were significant differences in organic acids in particular.

Conclusion

Combining the chemical fingerprint and quantitative assessment revealed significant variations in the examined commercial products with regard to organic acids. Thus, this study provided a more comprehensive tool for monitoring the quality consistency of Ginkgo biloba preparations.
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Metadata
Title
A strategy for quality control of ginkgo biloba preparations based on UPLC fingerprint analysis and multi-component separation combined with quantitative analysis
Authors
Li-na Liu
Hong-yu Jin
Zan Ke
Wei-yi Xu
Lei Sun
Shuang-cheng Ma
Publication date
01-12-2022
Publisher
BioMed Central
Published in
Chinese Medicine / Issue 1/2022
Electronic ISSN: 1749-8546
DOI
https://doi.org/10.1186/s13020-022-00618-3

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