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Authentication and distinction of Shenmai injection with HPLC fingerprint analysis assisted by pattern recognition techniques

In this paper, the feasibility and advantages of employing high performance liquid chromatographic (HPLC) fingerprints combined with pattern recognition techniques for quality control of Shenmai injection were investigated and demonstrated. The Similarity Evaluation System was employed to evaluate t...

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Bibliographic Details
Published in:Journal of pharmaceutical analysis 2012-10, Vol.2 (5), p.327-333
Main Authors: Lu, Xue-Feng, Bi, Kai-Shun, Zhao, Xu, Chen, Xiao-Hui
Format: Article
Language:English
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Summary:In this paper, the feasibility and advantages of employing high performance liquid chromatographic (HPLC) fingerprints combined with pattern recognition techniques for quality control of Shenmai injection were investigated and demonstrated. The Similarity Evaluation System was employed to evaluate the similarities of samples of Shenmai injection, and the HPLC generated chromatographic data were analyzed using hierarchical clustering analysis (HCA) and soft independent modeling of class analogy (SIMCA). Consistent results were obtained to show that the authentic samples and the blended samples were successfully classified by SIMCA, which could be applied to accurate discrimination and quality control of Shenmai injection. Furthermore, samples could also be grouped in accordance with manufacturers. Our results revealed that the developed method has potential perspective for the original discrimination and quality control of Shenmai injection.
ISSN:2095-1779
2214-0883
DOI:10.1016/j.jpha.2012.07.009