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Abstract
Context: Coptidis Rhizoma–Euodiae Fructus couple (CEC) is a classic traditional Chinese medicine preparation consisting of Coptidis Rhizoma and Euodiae Fructus at the ratio of 6:1, and used to treat gastro-intestinal disorders. Alkaloids are the main bioactive component. This research provides comprehensive analysis information for the quality control of CEC.
Objective: To develop a high-performance liquid chromatography–diode array detection fingerprint for chemical composition characteristics of CEC and its products.
Materials and methods: The samples were separated with a Gemini C18 column by using gradient elution with water–formic acid (100:0.03) and acetonitrile as mobile phase. Flow rate was 1.0 mL/min and detection wavelength was 250 nm. Similarity analysis and principal component analysis (PCA) were employed to evaluate quality consistencies of analytes. Mean chromatograms and correlation coefficients of analytes were calculated by the software “Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine”.
Results: Fingerprint chromatogram comparison determined 20 representative general fingerprint peaks, and the fingerprint chromatogram resemblances are all better than 0.988. Consistent results were obtained to show that CEC and its related samples could be successfully divided into three groups. Contribution plots generated by PCA were performed to interpret differences among the sample groups while peaks which significantly contributed to classification were identified. Seven bioactive constituents in the samples were verified by quantitative analysis.
Discussion and conclusion: The chromatographic fingerprint with similarity evaluation and PCA assay combined with quantification of seven compounds could be utilized as a quality control method for the herbal couple.
Acknowledgements
This research was supported partly by the National Natural Science Foundation of China (81173508), the National Key Technology Research and Development Program of China (2011BAI07B08), and Australian Research Council’s Linkage Infrastructure, Equipment and Facilities Funding Scheme (LE0775725). We are also grateful to the China Scholarship Council for a postgraduate scholarship (to X.G.). We would like to express heartfelt thanks to Mr. Paul Morrison for technical assistance.