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ORIGINAL ARTICLE
Year : 2014  |  Volume : 10  |  Issue : 40  |  Page : 470-476

Chromatographic fingerprinting analysis of Zhizhu Wan preparation by high-performance liquid chromatography coupled with photodiode array detector


Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, National TCM Key Laboratory of Serum Pharmacochemistry, Key Laboratory of Chinmedomics, Key Pharmacometabolomic Platform of Chinese Medicines, Heping Road 24, Harbin 150040, China

Correspondence Address:
Xijun Wang
Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, National TCM Key Laboratory of Serum Pharmacochemistry, Key Laboratory of Chinmedomics, Key Pharmacometabolomic Platform of Chinese Medicines, Heping Road 24, Harbin 150040
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1296.141819

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Background: Traditional Chinese medicine (TCM) formula has been used for over 1000 years and most of them contain complicate chemical constituents. Chromatographic fingerprinting has been widely accepted as a crucial method for qualitative and quantitative analyses for TCM. Zhi Zhu Wan (ZZW), a classical Chinese medical formula, has been commonly used for the treatment of gastrointestinal disease, which pose a serious challenge to its quality control. Materials and Methods: In this work, a sensitive and reliable method of high-performance liquid chromatography coupled with photodiode array detector (HPLC-PDA) was developed to control the quality of ZZW for chemical fingerprint analysis and quantitative analysis of four major bioactive constituents, including hesperidin, naringin, neohesperidin, and atractylenolide I. The chromatographic separation was performed on a Waters Symmetry C18 column (4.6 mm × 250 mm, 5 μm particle size), with an aqueous 0.095% phosphate acid and acetonitrile mobile phase gradient. Results: Optimization of other experimental conditions was validated with satisfactory accuracy, precision, repeatability, and recovery. In quantitative analysis, the four components showed good regression (R > 0.9994) within test ranges, and the recovery method ranged from 99.32% to 100.630%. HPLC fingerprints of the ZZW samples were compared by performing similarity analysis. Conclusion: The results indicated that the newly developed HPLC-PDA fingerprint method would be suitable for quality control of ZZW.


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