Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Co.

Nanjing, China

Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Co.

Nanjing, China

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Qin K.,Nanjing University | Qin K.,China Medicine Corporation | Qin K.,Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Co. | Cai H.,Nanjing University | And 10 more authors.
Natural Product Communications | Year: 2013

In this study, a simple, sensitive and reliable fingerprint analysis method by high-performance liquid chromatography coupled with diode array detection (HPLC-DAD) was developed for quality analysis of Bulbus Lilii, which is a famous traditional Chinese medicine and widely used as a restorative food. Then the developed method was subsequently applied to analyse 16 samples collected or purchased from different origins. Twelve common fingerprint peaks, including four definitely identified peaks, were found in total, and were involved for further characterisation and quality evaluation of Bulbus Lilii. The chemical quality of commercial samples collected from different origins varied obviously, indicating that more attention should be paid to the standardisation of the process of harvesting, manufacturing and storage of Bulbus Lilii. This is the first time that a new method has been established to control the quality of Bulbus Lilii through HPLC-DAD.


Qin K.,Nanjing University | Qin K.,China Medicine Corporation | Qin K.,Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Co. | Wang B.,Nanjing University | And 9 more authors.
Journal of Separation Science | Year: 2015

In traditional Chinese medicine, raw and processed herbs are used to treat different diseases. Suitable quality assessment methods are crucial for the discrimination between raw and processed herbs. The dried fruit of Arctium lappa L. and their processed products are widely used in traditional Chinese medicine, yet their therapeutic effects are different. In this study, a novel strategy using high-performance liquid chromatography and diode array detection coupled with multivariate statistical analysis to rapidly explore raw and processed Arctium lappa L. was proposed and validated. Four main components in a total of 30 batches of raw and processed Fructus Arctii samples were analyzed, and ten characteristic peaks were identified in the fingerprint common pattern. Furthermore, similarity evaluation, principal component analysis, and hierachical cluster analysis were applied to demonstrate the distinction. The results suggested that the relative amounts of the chemical components of raw and processed Fructus Arctii samples are different. This new method has been successfully applied to detect the raw and processed Fructus Arctii in marketed herbal medicinal products. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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