| ORIGINAL ARTICLE |
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| Year : 2016 | Volume
: 12
| Issue : 46 | Page : 270-276 |
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Quantitative analysis and comparison of four major flavonol glycosides in the leaves of Toona sinensis (A. Juss.) roemer (chinese toon) from various origins by high-performance liquid chromatography-diode array detector and hierarchical clustering analysis
Xiaoxiang Sun1, Liting Zhang2, Yaqi Cao2, Qinying Gu2, Huan Yang3, James P Tam4
1 Department of Pharmacy, Zhenjiang Hospital of Traditional Chinese Medicine; Department of Chinese Materia Medica, School of Pharmacy, Jiangsu University, China
2 Department of Chinese Materia Medica, School of Pharmacy, Jiangsu University, Zhenjiang, China
3 Department of Chinese Materia Medica, School of Pharmacy, Jiangsu University, Zhenjiang, China; Division of Structural Biology and Biochemistry, School of Biological Sciences, Nanyang Technological University, Singapore
4 Division of Structural Biology and Biochemistry, School of Biological Sciences, Nanyang Technological University, Singapore
Correspondence Address:
Huan Yang
Department of Chinese Materia Medica, School of Pharmacy, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, Jiangsu
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0973-1296.182160
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Background: Toona sinensis (A. Juss.) Roemer is an endemic species of Toona genus native to Asian area. Its dried leaves are applied in the treatment of many diseases; however, few investigations have been reported for the quantitative analysis and comparison of major bioactive flavonol glycosides in the leaves harvested from various origins. Objective: To quantitatively analyze four major flavonol glycosides including rutinoside, quercetin-3-O-β-D-glucoside, quercetin-3-O-α-L-rhamnoside, and kaempferol-3-O-α-L-rhamnoside in the leaves from different production sites and classify them according to the content of these glycosides. Materials and Methods: A high-performance liquid chromatography-diode array detector (HPLC-DAD) method for their simultaneous determination was developed and validated for linearity, precision, accuracy, stability, and repeatability. Moreover, the method established was then employed to explore the difference in the content of these four glycosides in raw materials. Finally, a hierarchical clustering analysis was performed to classify 11 voucher specimens. Results: The separation was performed on a Waters XBridge Shield RP18 column (150 mm × 4.6 mm, 3.5 μm) kept at 35°C, and acetonitrile and H2O containing 0.30% trifluoroacetic acid as mobile phase was driven at 1.0 mL/min during the analysis. Ten microliters of solution were injected and 254 nm was selected to monitor the separation. A strong linear relationship between the peak area and concentration of four analytes was observed. And, the method was also validated to be repeatable, stable, precise, and accurate. Conclusion: An efficient and reliable HPLC-DAD method was established and applied in the assays for the samples from 11 origins successfully. Moreover, the content of those flavonol glycosides varied much among different batches, and the flavonoids could be considered as biomarkers to control the quality of Chinese Toon.
SUMMARY
- Four major flavonol glycosides in the leaves of Toona sinensis were determined by HPLC-.DAD and their contents were compared among various origins by HCA.
Abbreviations used: HPLC-DAD: High-performance liquid chromatography-diode array detector, HCA: Hierarchical clustering analysis, MS: Mass spectrometry, RSD: Relative standard deviation.
Huan Yang, achieved his Ph. D. degree in 2008 from Nanjing University of Chinese Medicine, China. Currently, he is an Associate Professor at the Department of Chinese Materia Medica in the School of Pharmacy, Jiangsu University, China. His major research interest is in the area of chemical constituents of Chinese Medicine. In past years, Dr. Yang has been working on both plant sourced and animal derived Chinese Medicines, and engaged in finding active substances as well as pharmacological mechanism of these natural products.
Huan Yang
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