Development of a validated liquid chromatographic method for the quality control of Prunellae Spica: Determination of triterpenic acids

被引:59
作者
Lee, Mi Kyoung [1 ]
Ahn, Young Min [1 ]
Lee, Kang Ro [2 ]
Jung, Jee H. [3 ]
Jung, Ok-Sang [4 ]
Hong, Jongki [1 ]
机构
[1] Kyung Hee Univ, Coll Pharm, Seoul 130701, South Korea
[2] Sungkyunkwan Univ, Coll Pharm, Suwon 440746, South Korea
[3] Pusan Natl Univ, Coll Pharm, Pusan 609735, South Korea
[4] Pusan Natl Univ, Dept Chem, Pusan 609735, South Korea
关键词
Prunella Spica; Quality control; Triterpenic acids; Method validation; Principal component analysis; ELECTROSPRAY-IONIZATION; HERBAL MEDICINES; QUANTIFICATION; CONSTITUENTS; SAPONINS; RADIX;
D O I
10.1016/j.aca.2008.12.038
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A simple and rapid reversed-phase HPLC-UV method was developed for the determination of triterpenic acids in the crude extract of Prunellae Spica. Five triterpenic acids were extracted and isolated from R Spica as marker compounds for use in the quality control of herbal medicines. Various solvent extraction techniques were evaluated, and the greatest efficiency was observed with sonication in 100% ethanol. Elemental compositions of the five marker compounds were determined by high-resolution mass spectroscopy. The dynamic range of the HPLC-UV method depended on the specific analyte, and acceptable quantitation was obtained between 10 and 250 mu g mL(-1) for oleanolic acid, between 10 and 300 mu g mL(-1) for ursolic acid, between 3 and 75 mu g mL(-1) for 2 alpha,3 alpha,24-trihydroxyolean-12en-28oic acid, between 5 and 100 mu g mL(-1) for euscaphicacid, and between 5 and 100 mu g mL(-1) for 2 alpha,3 alpha-dihydroxyurs-1 2en-28oic acid. The method was deemed satisfactory by inter- and intra-day validation and exhibited both high accuracy and precision (relative standard deviation <9.4%). Overall limits of quantitation and detection were approximately 0.5-2.5 mu g mL(-1) at a signal-to-noise ratio (SIN) of 3 and were about 3.0-10.0 mu g mL(-1) at a SIN of 10. In addition, principal component analysis (PCA) was performed on the analytical data of 15 different P. Spica samples in order to classify samples collected from different regions. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:271 / 277
页数:7
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