Shan Mingqiu, Li Sam Fong Yau, Yu Sheng, Qian Yan, Guo Shuchen, Zhang Li, Ding Anwei
Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Department of Chemistry, National University of Singapore, Singapore 117543, Singapore.
J Chromatogr Sci. 2018 Jan 1;56(1):41-48. doi: 10.1093/chromsci/bmx079.
Platycladi cacumen (dried twigs and leaves of Platycladus orientalis (L.) Franco) is a frequently utilized Chinese medicinal herb. To evaluate the quality of the phytomedcine, an ultra-performance liquid chromatographic method with diode array detection was established for chemical fingerprinting and quantitative analysis. In this study, 27 batches of P. cacumen from different regions were collected for analysis. A chemical fingerprint with 20 common peaks was obtained using Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (Version 2004A). Among these 20 components, seven flavonoids (myricitrin, isoquercitrin, quercitrin, afzelin, cupressuflavone, amentoflavone and hinokiflavone) were identified and determined simultaneously. In the method validation, the seven analytes showed good regressions (R ≥ 0.9995) within linear ranges and good recoveries from 96.4% to 103.3%. Furthermore, with the contents of these seven flavonoids, hierarchical clustering analysis was applied to distinguish the 27 batches into five groups. The chemometric results showed that these groups were almost consistent with geographical positions and climatic conditions of the production regions. Integrating fingerprint analysis, simultaneous determination and hierarchical clustering analysis, the established method is rapid, sensitive, accurate and readily applicable, and also provides a significant foundation for quality control of P. cacumen efficiently.
侧柏叶（柏科植物侧柏Platycladus orientalis (L.) Franco的干燥枝梢和叶）是一种常用的中药材。为评价该植物药的质量，建立了一种采用二极管阵列检测的超高效液相色谱法用于化学指纹图谱分析和定量分析。本研究收集了27批来自不同产地的侧柏叶进行分析。使用《中药色谱指纹图谱相似度评价系统》（2004A版）获得了一个具有20个共有峰的化学指纹图谱。在这20种成分中，同时鉴定并测定了7种黄酮类化合物（杨梅素、异槲皮苷、槲皮苷、阿福豆苷、扁柏双黄酮、穗花杉双黄酮和日扁柏素）。在方法验证中，7种分析物在线性范围内显示出良好的线性关系（R≥0.9995），回收率在96.4%至103.3%之间。此外，基于这7种黄酮类化合物的含量，应用层次聚类分析将27批样品分为5组。化学计量学结果表明，这些组与产地的地理位置和气候条件基本一致。综合指纹图谱分析、同时测定和层次聚类分析，所建立的方法快速、灵敏、准确且易于应用，也为高效控制侧柏叶的质量提供了重要依据。
