Identification and comparative determination of senkyunolide A in traditional Chinese medicinal plants Ligusticum chuanxiong and Angelica sinensis by HPLC coupled with DAD and ESI-MS.
ABSTRACT Using the HPLC/DAD/ESI/MS method, the qualitative and quantitative analysis of senkyunolide A (SA) in the rhizomes of Ligusticum chuanxiong (Rhizoma chuanxiong; CX) and roots of Angelica sinensis (DG) was established. As a result, it was found that SA is a characteristic standard compound for the quality evaluation and chemical differentiation between CX and DG. Methanol was chosen in the preparation of standard solutions and extraction of samples based on the stability data. The identity of SA in CX and DG was unambiguously determined based on the quasimolecular ions in ESI-MS. A comprehensive validation of the method, including sensitivity, linearity, reproducibility and recovery, was conducted using the optimized chromatographic conditions. The linear calibration curve was acquired with R2>0.999 and limit of detection (S/N=3) was estimated to be 12.5 mug/g. The reproducibility was evaluated by repeated sample injection and replicated analysis of samples with the relative standard deviation (RSD) value found within 0.68%. The recovery rates of SA varied within the range of 96.91-101.50% with RSD less than 2.38%. In the present work, the contents of SA were quantified within 3.94-9.14 mg/g and 0.108-0.588 mg/g for 12 batches each of CX and DG. The results demonstrated that SA is a useful standard compound for the quality evaluation and chemical differentiation between CX and DG. The analytical procedure is precise and reproducible and thus suitable for the analysis of a large number of samples.
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ABSTRACT: Angelica sinensis and Ligusticum chuanxiong are two of the most widely prescribed traditional Chinese medicinal herbs for treating cardiovascular disorders in China. The therapeutic effects of these two herbs are generally considered as the contribution of their respective constituent ferulic acid and tetramethylpyrazine. Nonetheless, both constituents are of minuscule quantities and ferulic acid is a widespread constituent among numerous botanicals. Phthalides, on the other hand, are the most abundant group of compounds identified in Angelica sinensis and Ligusticum chuanxiong and their biological actions correlate to the clinical activities of both herbs. In the current article, we argue the appropriateness of employing ferulic acid and tetramethylpyrazine as the respective bioactive chemical markers of Angelica sinensis and Ligusticum chuanxiong, and propose that phthalides are a more suitable alternative.Recent Progress in Medicinal Plants Vol. 23, Phytopharmacology and Therapeutic Values V, Edited by VK Singh, JN Govil, 01/2008: chapter 19: pages 264-275; Studium Press.
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ABSTRACT: Rhizoma Chuanxiong (RC) is the dried rhizome of Ligusticum chuanxiong Hort., and various types of processed Rhizoma Chuanxiong (PRC) are widely used in China. However, quality assurance and quality control of these processed medicines remain challenging. This study aims to investigate the chemical compositions of various PRC preparations by a high-performance liquid chromatography (HPLC) coupled with diode array detection (DAD) method. A HPLC-DAD method with validation was developed for PRC samples. Seven batches of plant samples from two processing methods, stir-frying and steaming, were analyzed by the HPLC-DAD method. Common peaks in PRC chromatograms were chosen to calculate their relative retention time (RRT) and relative peak area (RPA), and similarity analyses of the chromatographic fingerprints were conducted by Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine software (Version 2004 A). In the 24-h stability test, the relative standard deviation for the RRT and RPA was less than 0.07% and 2.57%, respectively. The precision was less than 0.08% for the RRT and 2.48% for the RPA. The repeatability for the RRT and RPA was less than 0.03% and 2.64%, respectively. The similarities between the seven PRC batches were range from 0.956 to 0.990. After stir-frying or steaming, the amount of ferulic acid in PRC was much higher than that in the raw material. The fingerprint analysis of PRC by different processing methods was feasible by HPLC-DAD.Chinese Medicine 12/2015; 10(1). DOI:10.1186/s13020-015-0031-3 · 2.34 Impact Factor
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ABSTRACT: A comparative quantitative analysis of major bioactive components including three aromatic acids (chlorogenic acid, caffeic acid and ferulic acid) and four phthalides (senkyunolide I, senkyunolide H, Z-ligustilide and Z-butylidenephthalide) inAngelica sinensis(DG), Ligusticum chuanxiong (CX), and the herb pair ‘Gui-Xiong’ with seven ratios and three preparation methods was carried out by a simple HPLC coupled with photodiode array detection (PAD). The aim was to evaluate the content changes of seven bioactive components, to reveal compatibility rule of the herb pair ‘Gui-Xiong’, and to establish material basis for interpreting pharmacological effect changes. The results showed that water extracts of ‘Gui-Xiong’ could better increase the dissolution of aromatic acids and phthalides in comparison with single herb. And the contents of total acids in ethanol and water-alcohol extracts of DG, ‘Gui-Xiong’ and CX were higher as the proportionality coefficient of CX increasing. The contents of total phthalides in water extracts of ‘Gui-Xiong’ were higher as the proportionality coefficient of CX increasing, while the contents of total phthalides in ethanol and water-alcohol extracts of ‘Gui-Xiong’ changed erratically. On the condition of same extract method, the contents of total phthalides in DG, ‘Gui-Xiong’ and CX were higher than the content of total acids. And some chemical correlations were tried with their pharmacological effect changes. These research results can be helpful to illustrate the drug interactions during decocting process of herb pair according to the quantity changes of these marker compounds.Journal of Liquid Chromatography & Related Technologies 01/2012; 35(17). DOI:10.1080/10826076.2011.633678 · 0.64 Impact Factor