Table of Contents Author Guidelines Submit a Manuscript
Journal of Analytical Methods in Chemistry
Volume 2015, Article ID 607252, 11 pages
http://dx.doi.org/10.1155/2015/607252
Research Article

Quality Assessment of Ojeok-San, a Traditional Herbal Formula, Using High-Performance Liquid Chromatography Combined with Chemometric Analysis

1Herbal Medicine Formulation Research Group, Korea Institute of Oriental Medicine, Daejeon 305-811, Republic of Korea
2Division of Pharmacology, School of Korean Medicine, Pusan National University, Yangsan, Gyeongnam 626-870, Republic of Korea

Received 22 October 2014; Revised 16 March 2015; Accepted 17 March 2015

Academic Editor: Shixin Deng

Copyright © 2015 Jung-Hoon Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. The Korean Medicine Society for the Herbal Formula Study, Herbal Formula, Younglimsa, Seoul, Republic of Korea, 2003.
  2. K. Takashi, “Drug information for pain control Goshakusan,” Pain Clinic, vol. 24, pp. 1161–1164, 2003. View at Google Scholar
  3. A. Oya, T. Oikawa, A. Nakai, T. Takeshita, and T. Hanawa, “Clinical efficacy of Kampo medicine (Japanese traditional herbal medicine) in the treatment of primary dysmenorrhea,” Journal of Obstetrics and Gynaecology Research, vol. 34, no. 5, pp. 898–908, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Saito, H. Fukushima, and H. Nagase, “Anti-clastogenic effect of magnolol-containing Hange-koboku-to, Dai-joki-to, Goshaku-san, and Magnoliae Cortex on benzo(a)pyrene-induced clastogenicity in mice,” Biological and Pharmaceutical Bulletin, vol. 32, no. 7, pp. 1209–1214, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. I. S. Shin, M. Y. Lee, W. Y. Jeon, J. C. Kim, and H. K. Shin, “Ojeok-san, a traditional Korean herbal medicine attenuates airway inflammation and pulmonary fibrosis induced by repeated ovalbumin challenge,” Journal of Ethnopharmacology, vol. 149, no. 1, pp. 281–287, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. M.-H. Jeon, H.-J. Kwon, J.-S. Jeong, Y.-M. Lee, and S.-P. Hong, “Detection of albiflorin and paeoniflorin in Paeoniae Radix by reversed-phase high-performance liquid chromatography with pulsed amperometric detection,” Journal of Chromatography A, vol. 1216, no. 21, pp. 4568–4573, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. G. X. Cai, Y. H. Wang, P. Cai, and D. Huang, “Rapid method for simultaneous determination of 11 chemical constituents in the traditional Chinese medicinal prescription Wu-Ji-San by reverse phase high-performance liquid chromatography coupled with diode array detection (RP-HPLC-DAD),” Journal of Medicinal Plants Research, vol. 6, no. 8, pp. 1415–1421, 2012. View at Publisher · View at Google Scholar
  8. A. Ben-Dor, R. Shamir, and Z. Yakhini, “Clustering gene expression patterns,” Journal of Computational Biology, vol. 6, no. 3-4, pp. 281–297, 1999. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Jiang, C. Tang, and A. Zhang, “Cluster analysis for gene expression data: a survey,” IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 11, pp. 1370–1386, 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. H.-L. Ma, M.-J. Qin, L.-W. Qi, G. Wu, and P. Shu, “Improved quality evaluation of Radix Salvia miltiorrhiza through simultaneous quantification of seven major active components by high-performance liquid chromatography and principal component analysis,” Biomedical Chromatography, vol. 21, no. 9, pp. 931–939, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. Z.-B. Yi, Y.-Z. Liang, and B. Zeng, “Evaluation of the antimicrobial mode of berberine by LC/ESI-MS combined with principal component analysis,” Journal of Pharmaceutical and Biomedical Analysis, vol. 44, no. 1, pp. 301–304, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. J. F. Lu, J. B. Tang, Z. M. Tang, and J. Y. Yang, “Hierarchical initialization approach for K-means clustering,” Pattern Recognition Letters, vol. 29, no. 6, pp. 787–795, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. D. C. Lima, A. M. P. D. dos Santos, R. G. O. Araujo, I. S. Scarminio, R. E. Bruns, and S. L. C. Ferreira, “Principal component analysis and hierarchical cluster analysis for homogeneity evaluation during the preparation of a wheat flour laboratory reference material for inorganic analysis,” Microchemical Journal, vol. 95, no. 2, pp. 222–226, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. C.-Y. Chen, L.-W. Qi, H.-J. Li et al., “Simultaneous determination of iridoids, phenolic acids, flavonoids, and saponins in Flos Lonicerae and Flos Lonicerae Japonicae by HPLC-DAD-ELSD coupled with principal component analysis,” Journal of Separation Science, vol. 30, no. 18, pp. 3181–3192, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Peng, Y. Wang, H. Zhu, and Q. Chen, “Fingerprint profile of active components for Artemisia selengensis Turcz by HPLC-PAD combined with chemometrics,” Food Chemistry, vol. 125, no. 3, pp. 1064–1071, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. C. Yu, C. Z. Wang, C. J. Zhou et al., “Adulteration and cultivation region identification of American ginseng using HPLC coupled with multivariate analysis,” Journal of Pharmaceutical and Biomedical Analysis, vol. 99, pp. 8–15, 2014. View at Publisher · View at Google Scholar
  17. K.-Y. Kwok, J. Xu, H.-M. Ho et al., “Quality evaluation of commercial Huang-Lian-Jie-Du-Tang based on simultaneous determination of fourteen major chemical constituents using high performance liquid chromatography,” Journal of Pharmaceutical and Biomedical Analysis, vol. 85, pp. 239–244, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. S. G. Kim, A. Poudel, Y.-K. Kim, H.-K. Jo, and H.-J. Jung, “Development of simultaneous analysis for marker constituents in Hwangryunhaedok-tang and its application in commercial herbal formulas,” Journal of Natural Medicines, vol. 67, no. 2, pp. 390–398, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Yan, C.-Z. Chai, D.-W. Wang, X.-Y. Yue, D.-N. Zhu, and B.-Y. Yu, “HPLC-DAD-Q-TOF-MS/MS analysis and HPLC quantitation of chemical constituents in traditional Chinese medicinal formula Ge-Gen Decoction,” Journal of Pharmaceutical and Biomedical Analysis, vol. 80, pp. 192–202, 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. H.-F. Chen, W.-G. Zhang, J.-B. Yuan, Y.-G. Li, S.-L. Yang, and W.-L. Yang, “Simultaneous quantification of polymethoxylated flavones and coumarins in Fructus aurantii and Fructus aurantii immaturus using HPLC-ESI-MS/MS,” Journal of Pharmaceutical and Biomedical Analysis, vol. 59, no. 1, pp. 90–95, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. M.-T. Sheu, Y.-K. Lin, C.-H. Huang, and H.-O. Ho, “Established HPLC fraction analysis to predict furanocoumarin-based herb-drug metabolic interactions,” Phytotherapy Research, vol. 26, no. 6, pp. 865–877, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. U. Ceglarek, B. Casetta, J. Lembcke, S. Baumann, G. M. Fiedler, and J. Thiery, “Inclusion of MPA and in a rapid multi-drug LC–tandem mass spectrometric method for simultaneous determination of immunosuppressants,” Clinica Chimica Acta, vol. 373, no. 1-2, pp. 168–171, 2006. View at Publisher · View at Google Scholar · View at Scopus
  23. J. L. R. Júnior and N. Ré-Poppi, “Determination of organochlorine pesticides in ground water samples using solid-phase microextraction by gas chromatography-electron capture detection,” Talanta, vol. 72, no. 5, pp. 1833–1841, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. K. A. Abdul Nazeer and M. P. Sebastian, “Improving the accuracy and efficiency of the k-means clustering algorithm,” in Proceedings of the World Congress on Engineering, vol. 1, pp. 308–312, 2009.
  25. X.-M. Cheng, T. Zhao, T. Yang, C.-H. Wang, S. W. A. Bligh, and Z.-T. Wang, “HPLC fingerprints combined with principal component analysis, hierarchical cluster analysis and linear discriminant analysis for the classification and differentiation of Peganum sp. indigenous to China,” Phytochemical Analysis, vol. 21, no. 3, pp. 279–289, 2010. View at Publisher · View at Google Scholar · View at Scopus
  26. J. A. S. Almeida, L. M. S. Barbosa, A. A. C. C. Pais, and S. J. Formosinho, “Improving hierarchical cluster analysis: a new method with outlier detection and automatic clustering,” Chemometrics and Intelligent Laboratory Systems, vol. 87, no. 2, pp. 208–217, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. C. Budayan, I. Dikmen, and M. T. Birgonul, “Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping,” Expert Systems with Applications, vol. 36, no. 9, pp. 11772–11781, 2009. View at Publisher · View at Google Scholar · View at Scopus