Issue 2, 2013

A comparative fingerprint study using high-performance liquid chromatography, ultraviolet, and near-infrared spectroscopy to evaluate the quality consistency of Danshen injections produced by different manufacturers

Abstract

Very few efforts have been directed toward interpreting the differences between chromatographic and spectroscopic fingerprints for the purpose of quality control, although similarity analysis based on fingerprints is commonly applied to quality consistency evaluation of herbal medicines (HM). In the current study, comparative evaluation of high-performance liquid chromatography (HPLC), ultraviolet (UV), and near-infrared (NIR) fingerprint techniques combined with chemometric methods has been conducted to control the quality of Chinese herbal injections. A set of Danshen injections (DSI) are chosen as an example of the relevance to contemporary HM. Similarity analysis by principal component analysis, identification using linear discriminant analysis and k nearest neighbor classifiers, and control charts based on Hotelling's T2 and DModX statistics are employed to evaluate the quality consistency of the DSI samples from three different manufacturers. The results in this study demonstrate that the UV spectroscopy technique combined with chemometric methods is useful for the identity and consistency evaluation of DSI. Such an approach is believed to be equally applicable to other HM.

Graphical abstract: A comparative fingerprint study using high-performance liquid chromatography, ultraviolet, and near-infrared spectroscopy to evaluate the quality consistency of Danshen injections produced by different manufacturers

Article information

Article type
Paper
Submitted
18 Aug 2012
Accepted
09 Nov 2012
First published
12 Nov 2012

Anal. Methods, 2013,5, 474-482

A comparative fingerprint study using high-performance liquid chromatography, ultraviolet, and near-infrared spectroscopy to evaluate the quality consistency of Danshen injections produced by different manufacturers

H. Huang and H. Qu, Anal. Methods, 2013, 5, 474 DOI: 10.1039/C2AY25925G

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