Chemical Discrimination of Cortex Phellodendri amurensis and Cortex Phellodendri chinensis by Multivariate Analysis Approach
Hui Sun1, Huiyu Wang1, Aihua Zhang1, Guangli Yan1, Ying Han1, Yuan Li1, Xiuhong Wu1, Xiangcai Meng1, Xijun Wang1★★ Corresponding author
- 1Department of Pharmaceutical Analysis, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics and Chinmedomics, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
CORRESPONDENCE
Xijun Wang
Department of Pharmaceutical Analysis, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics and Chinmedomics, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Volume 12, Issue 45 · pp. 41–49 · PUBLISHED 2016 · DOI: 10.4103/0973-1296.176023
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ABSTRACT
Background: As herbal medicines have an important position in health care systems worldwide, their current assessment, and quality control are a major bottleneck. Cortex Phellodendri chinensis (CPC) and Cortex Phellodendri amurensis (CPA) are widely used in China, however, how to identify species of CPA and CPC has become urgent. Materials and Methods: In this study, multivariate analysis approach was performed to the investigation of chemical discrimination of CPA and CPC. Results: Principal component analysis showed that two herbs could be separated clearly. The chemical markers such as berberine, palmatine, phellodendrine, magnoflorine, obacunone, and obaculactone were identified through the orthogonal partial least squared discriminant analysis, and were identified tentatively by the accurate mass of quadruple‑time‑of‑flight mass spectrometry. A total of 29 components can be used as the chemical markers for discrimination of CPA and CPC. Of them, phellodenrine is significantly higher in CPC than that of CPA, whereas obacunone and obaculactone are significantly higher in CPA than that of CPC. Conclusion: The present study proves that multivariate analysis approach based chemical analysis greatly contributes to the investigation of CPA and CPC, and showed that the identified chemical markers as a whole should be used to discriminate the two herbal medicines, and simultaneously the results also provided chemical information for their quality assessment.
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Sun, H., Wang, H., Zhang, A., Yan, G., Han, Y., Li, Y., Wu, X., Meng, X., & Wang, X. (2016). Chemical Discrimination of Cortex Phellodendri amurensis and Cortex Phellodendri chinensis by Multivariate Analysis Approach. Pharmacognosy Magazine, 12(45), 41–49. https://doi.org/10.4103/0973-1296.176023