Abstract

Fici Microcarpae Folium, the leaves of Ficus microcarpa, is commonly used for the treatment of influenza, chronic bronchitis, and tonsillitis in Traditional Chinese Medicine (TCM). Ficus microcarpa is mainly distributed in Guangdong and Guangxi provinces. The composition of herbal medicines can be easily affected by geographical regions, the quality control of FMF is essential. In this study, the high-performance liquid chromatography (HPLC) coupled with diode array detection (DAD) was developed to obtain a chromatographic fingerprint of Fici Microcarpae Folium from different geographical regions. Meanwhile, the contents of eight compounds of Fici Microcarpae Folium were determined. Principal component analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal partial least squares discrimination analysis (OPLS-DA) were employed to evaluate the HPLC fingerprint. The results showed that the main compositions of Fici Microcarpae Folium from different geographical origins had no difference. The content of the main compositions was different, from which the peak 8, 15, 12, 11, 16, 3, and 21 were the main components that contribute to the difference. Isovitexin, vitexin, and isoorientin were the main components reflecting the quality of Fici Microcarpae Folium. This research could contribute to the quality control of Fici Microcarpae Folium.

摘要

Fici Microcarpae Folium 是Ficus microcarpa的叶子，在中医 (TCM) 中常用于治疗流感、慢性支气管炎和扁桃体炎。小果榕主要分布于广东、广西两省。草药的成分很容易受到地理区域的影响，FMF的质量控制至关重要。在这项研究中，开发了高效液相色谱法（HPLC）与二极管阵列检测（DAD）相结合，以获得来自不同地理区域的无花果叶的色谱指纹图谱。同时测定了无花果叶8种化合物的含量。采用主成分分析 (PCA)、层次聚类分析 (HCA) 和正交偏最小二乘判别分析 (OPLS-DA) 来评估 HPLC 指纹图谱。结果表明，不同产地无花果的主要成分无差异。主要成分含量不同，其中峰8、15、12、11、16、3、21是造成差异的主要成分。异牡荆素、牡荆素、异荭草素是反映无花果叶品质的主要成分。该研究有助于无花果的质量控制。