Bulletin of the Korean Chemical Society

  • 제30권1호
  • /
  • Pages.137-144
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  • 2009
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  • 0253-2964(pISSN)
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  • 1229-5949(eISSN)
대한화학회 (Korean Chemical Society)
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Quantitative and Pattern Recognition Analyses for the Quality Evaluationof Herba Epimedii by HPLC

  • Nurul Islam, M. (Doping Control Center, Korea Institute of Science and Technology) ;
  • Lee, Sang-Kyu (Doping Control Center, Korea Institute of Science and Technology) ;
  • Jeong, Seo-Young (College of Pharmacy, Kyung-Hee University) ;
  • Kim, Dong-Hyun (Doping Control Center, Korea Institute of Science and Technology) ;
  • Jin, Chang-Bae (Doping Control Center, Korea Institute of Science and Technology) ;
  • Yoo, Hye-Hyun (Doping Control Center, Korea Institute of Science and Technology)
  • 발행 : 2009.01.20
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초록

In this study, quantitative and pattern recognition analyses for the quality evaluation of Herba Epimedii using HPLC was developed. For quantitative analysis, five major bioactive constituents, hyperin, epimedin A, epimedin B, epimedin C, and icariin were determined. Analysis was carried out on Capcell pak $C_{18}$ column ($250{\time}4.6$ mm, 5 ${\mu}m$) with a mobile phase of mixture of acetonitrile and 0.1% formic acid, using UV detection at 270 nm. The linear behavior was observed over the investigated concentration range (2-50 ${\mu}g/mL;\;r_2\;>$ 0.99) for all analytes. The intraand inter-day precisions were lower than 4.3% (as a relative standard deviation, RSD) and accuracies between 95.1% and 104.4%. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of one reference sample. The RSD of intra- and inter-day variation of relative retention time (RRT) and relative peak area (RPA) of the 12 selected common peaks were below 0.8% and 4.7%, respectively. The developed methods were applied to analysis of twenty Herba Epimedii extract samples. Contents of hyperin, epimedin A, epimedin B, epimedin C, and icariin were calculated to be 0$\sim$0.79, 0.69$\sim$1.91, 0.93$\sim$9.58, 0.65$\sim$3.05, and 2.43$\sim$11.8 mg/g dried plant. Principal component analysis (PCA) showed that most samples were clustered together with the reference samples but several apart from the main cluster in the PC score plot, indicating differences in overall chemical composition between two clusters. The present study suggests that quantitative determination of marker compounds combined with pattern-recognition method can provide a comprehensive approach for the quality assessment of herbal medicines.

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참고문헌

  1. Kim, J. H.; Park, S. Y.; Lim, H. K.; Park, A. Y.; Kim, J. S.; Kang, S. S.; Youm, J. R.; Han, S. B. Bull. Korean Chem. Soc. 2007, 28, 1187 https://doi.org/10.5012/bkcs.2007.28.7.1187
  2. Giordano, J.; Garcia, M. K.; Strickland, G. J. Altern. Complement. Med. 2004, 10, 706 https://doi.org/10.1089/acm.2004.10.706
  3. Yan, S. K.; Zhang, W. D.; Liu, R. H.; Zhan, Y. C. Chem. Pharm. Bull. 2006, 54, 1058 https://doi.org/10.1248/cpb.54.1058
  4. Qian, G.; Leung, S.Y.; Lu, G.; Leung, K. S. Y. Chem. Pharm. Bull. 2006, 54, 1179 https://doi.org/10.1248/cpb.54.1179
  5. Piao, X. L.; Park, J. H.; Cui, J.; Kim, D. H.; Yoo, H. H. J. Pharm. Biomed. Anal. 2007, 44, 1163 https://doi.org/10.1016/j.jpba.2007.04.006
  6. Whang, W. H.; Lee, M. W.; Choi, H. K. Bull. Korean Chem. Soc. 2007, 28, 557 https://doi.org/10.5012/bkcs.2007.28.4.557
  7. World Health Organization Guidelines for the Assessment of Herbal Medicines; WHO: Munich, Geneva, 1991
  8. Guidance for Industry Botanical Drug Products; Food and Drug Administration: USA, June, 2004
  9. Requirement for Studying Fingerprint of Traditional Chinese Medicine Injections (Draft); Drug Administration Bureau of China: 2000
  10. Guo, B. L.; Xia, P. G. China J. Chin. Mater. Med. 2003, 28, 303
  11. Yang, Y.; Liu, N.; Mo, Z.; Xie, J.; Liao, J.; Mo, S. Appl. Radiat. Isot. 2006, 64, 241 https://doi.org/10.1016/j.apradiso.2005.06.015
  12. Sun, P.; Ye, W.; Zhao, J.; Pei, Y.; Wang, Z.; Chen, Y.; Ogihara, Y.; Takeda, T. Chem. Pharm. Bull. 1995, 43, 703 https://doi.org/10.1248/cpb.43.703
  13. Liu, J.; Lou, Y. J. J. Pharm. Biomed. Anal. 2004, 36, 365 https://doi.org/10.1016/j.jpba.2004.06.021
  14. Liu, J. J.; Li, S. P.; Wang, Y. T. J. Chromatogr. A 2006, 1103, 344 https://doi.org/10.1016/j.chroma.2005.11.036
  15. Sha, A.; Cao, A.; Yang, S. China J. Chin. Mater. Med. 1995, 20, 357
  16. Liu, W. J.; Xin, Z. C.; Xin, H.; Yuan, Y. M.; Tian, L.; Guo, Y. L. Asian J. Androl. 2005, 7, 381 https://doi.org/10.1111/j.1745-7262.2005.00066.x
  17. Xin, Z. C.; Kim, E. K.; Lin, C. S.; Liu, W. J.; Tian, L.; Yuan, Y. M.; Fu, J. Asian J. Androl. 2003, 5, 15
  18. Pan, Y.; Kong, L.; Xia, X.; Zhang, W.; Xia, Z.; Jiang, F. Pharmacol. Biochem. Behav. 2005, 82, 686 https://doi.org/10.1016/j.pbb.2005.11.010
  19. Lee, M. K.; Choi, Y. J.; Sung, S. H.; Shin, D. I.; Kim, J. W.; Kim, Y. C. Planta Med. 1995, 61, 523 https://doi.org/10.1055/s-2006-959362
  20. Liu, Z. Q.; Luo, X. Y.; Sun, Y. X.; Wu, W.; Liu, C. M.; Liu, Z. Q.; Liu, S. Y. J. Pharm. Pharmacol. 2004, 56, 1557 https://doi.org/10.1211/0022357044869
  21. Zheng, X.; Hu, Y.; Liu, J.; Ouyang, K. Bioorg. Med. Chem. Lett. 2005, 15, 4531 https://doi.org/10.1016/j.bmcl.2005.07.003
  22. Zhang, Z.; Li, Y.; Yang, X.; Wang, K.; Ni, J.; Qu, X. Life Sci. 2005, 78, 180 https://doi.org/10.1016/j.lfs.2005.04.057
  23. Zhu, D.; Qu, L.; Zhang, X.; Lou, Y. Eur. J. Pharmacol. 2005, 514, 99 https://doi.org/10.1016/j.ejphar.2005.03.031
  24. Liu, T. Z.; Chen, C. Y.; Yiin, S. J.; Chen, C. H.; Cheng, J. T.; Shih, M. K.; Wang, Y. S.; Chern, C. L. Food Chem. Toxicol. 2006, 44, 227 https://doi.org/10.1016/j.fct.2005.07.003
  25. Meng, F. H.; Li, Y. B.; Xiong, Z. L.; Jinag, Z. M.; Li, F. M. Pharm. Biol. 2005, 43, 92 https://doi.org/10.1080/13880200590903435
  26. Huang, J.; Yuan, L.; Wang, X.; Zhang, T. L.; Wang, K. Life Sci. 2007, 81, 832 https://doi.org/10.1016/j.lfs.2007.07.015
  27. Butterweck, V.; Jurgenliemk, G.; Nahrstedt, A.; Winterhoff, H. Planta Med. 2000, 66, 3 https://doi.org/10.1055/s-2000-11119
  28. Wu, L. L.; Yang, X. B.; Huang, Z. M.; Liu, H. Z.; Wu G. X. Acta Pharmacol. Sin. 2007, 28, 404 https://doi.org/10.1111/j.1745-7254.2007.00510.x
  29. Liu, Z.; Tao, X.; Zhang, C.; Lu, Y.; Wei, D. Biomed. Pharmacother. 2005, 59, 481 https://doi.org/10.1016/j.biopha.2005.06.009
  30. Lee, S.; Jung, S. H.; Lee, Y. S.; Yamada, K.; Kim, B. K.; Ohuchi, K.; Shin, K. H. Arch. Pharm. Res. 2004, 27, 628 https://doi.org/10.1007/BF02980162
  31. Ding, C. China J. Chin. Mater. Med. 1990, 15, 604
  32. Ito, Y.; Hirayama, F.; Suto, K.; Shima, T.; Sagara, K.; Yoshida, T. J. Chromatogr. 1988, 456, 392 https://doi.org/10.1016/0021-9673(86)80037-1
  33. Pozharitskaya, O. N.; Kosman, V. M.; Shikov, A. N.; Demchenko, D. V.; Eschenko, A. Y.; Makarov, V. G. J. Sep. Sci. 2007, 30, 708 https://doi.org/10.1002/jssc.200600442
  34. Pei, L. K.; Sun, S. Q.; Guo, B. L.; Huang, W. H.; Xiao, P. G.Spectrochim. Acta Part A: Mol. Biomol. Spectrosc. 2007, Doi: 10.1016/j.saa.2007. 07.053
  35. Chen, X. J.; Ji, H.; Wang, Y. T.; Li, S. P. J. Sep. Sci. 2008, 31, 881 https://doi.org/10.1002/jssc.200700615
  36. Islam, N. M.; Yoo, H. H.; Lee, M. W.; Dong, M. S.; Park, Y. I.; Jeong, H. S.; Kim, D. H. Phytochem. Anal. 2008, 19, 71 https://doi.org/10.1002/pca.1018
  37. Liu, Z.; Ding, L.; Zhang, H.; Hu, X.; Bu, F. J. Liq. Chromatogr. Relat. Technol. 2006, 29, 719 https://doi.org/10.1080/10826070500509280

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