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RESEARCH ARTICLE

Quantitative determination and pattern recognition analyses of bioactive marker compounds from Dipsaci Radix by HPLC Bing Tian Zhao • Su Yang Jeong • Dong Cheul Moon Kun Ho Son • Jong Keun Son • Mi Hee Woo

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Received: 7 February 2013 / Accepted: 22 May 2013 Ó The Author(s) 2013. This article is published with open access at Springerlink.com

Abstract In this study, quantitative and pattern recognition analyses were developed using HPLC/UV for the quality evaluation of Dipsaci Radix. For quantitative analysis, five major bioactive compounds were assessed. The separation conditions employed for HPLC/UV were optimized using ODS C18 column (250 9 4.6 mm, 5 lm) with a gradient of acetonitrile and water as the mobile phase at a flow rate of 1.0 mL/min and a detection wavelength of 212 nm. These methods were fully validated with respect to linearity, accuracy, precision, recovery, and robustness. The HPLC/UV method was applied successfully to the quantification of five major compounds in the extract of Dipsaci Radix. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of 17 Dipsaci Radix and four Phlomidis Radix samples. The results indicate that the established HPLC/ UV method is suitable for quantitative analysis.

B. T. Zhao  S. Y. Jeong  M. H. Woo (&) College of Pharmacy, Catholic University of Daegu, Gyeongsan 712-702, Korea e-mail: [email protected] D. C. Moon College of Pharmacy, Chungbuk National University, Cheongju, Korea K. H. Son College of Life Science, Andong National University, Andong, Korea J. K. Son (&) College of Pharmacy, Yeungnam University, Gyeongsan 712-749, Korea e-mail: [email protected]

Keywords Dipsaci Radix  Dipsacus asperoides  HPLC–UV  Quality control

Introduction The use of herbal medicines continues to expand rapidly throughout the world. Many people now take herbal medicines or herbal products for their health in different national health-care settings (WHO 2004). The requirements and methods for quality control of finished herbal products, particularly for mixed herbal products, are far more complex than for other pharmaceuticals. The quality of such products is influenced by the quality of the raw materials used. Good agricultural and good collection practices (GACP) for medicinal plants, including plant selection and cultivation, are therefore important measures (WHO 2003). Quality control in synthetic drugs is conducted by measuring their medicinal components, whereas quality control in herbal medicines is traditionally performed by measuring a representative compound (a marker compound) contained in the herbal medicines. However, quantitation of one or a few components is not an adequate approach for quality control of herbal medicines. Thus there is an urgent need to establish a comprehensive qualified evaluation method based on analysis of the bioactive compounds in order to accurately reflect the quality of herbal medicines. Fingerprint analysis/pattern recognition with multivariate statistical analysis can provide inf