Dai Wenjing, Hu Lihua, Ji Lifang, Li Jing, Bi Kaishun, Li Qing
School of Pharmacy, Shenyang Pharmaceutical University.
Anal Sci. 2015;31(6):535-41. doi: 10.2116/analsci.31.535.
A method of quality evaluation by a single standard to determine multi-components (SSDMC), fingerprint and high-performance thin layer-chromatography (HPTLC) was developed for traditional Chinese medicine (TCM), and validated with dry Houttuyniae Herba (HH). In quantitative analysis, an SSDMC method involving nine components has been established with the desirable linearity (r(2) ≥ 0.9998), precision (RSD < 2.7%), accuracy (97.4 - 103.1%) and ruggedness. Compared with the results obtained using the external standard method (ESM), this alternative SSDMC method was found to have no statistically significant differences. In fingerprint analysis, nine of fourteen peaks were identified. Simultaneously, 15 HH samples from different origins were classified by similarity analysis and hierarchical clustering analysis (HCA). Additionally, the HPTLC method with three flavonoid markers was firstly established. The combination of SSDMC with the fingerprint and HPTLC method has been verified in the quality control of HH both quantitatively and qualitatively, and will provide a new quality evaluation pattern for TCMs.
建立了一种采用单一标准测定多成分的质量评价方法（SSDMC）、指纹图谱和高效薄层色谱法（HPTLC）用于中药质量评价，并以干鱼腥草（HH）进行了验证。在定量分析中，建立了一种涉及9种成分的SSDMC方法，该方法具有良好的线性关系（r(2)≥0.9998）、精密度（RSD<2.7%）、准确度（97.4 - 103.1%）和耐用性。与采用外标法（ESM）获得的结果相比，该替代SSDMC方法无统计学显著差异。在指纹图谱分析中，鉴定出了14个峰中的9个。同时，通过相似度分析和层次聚类分析（HCA）对来自不同产地的15个HH样品进行了分类。此外，首次建立了具有三种黄酮类标记物的HPTLC方法。SSDMC与指纹图谱和HPTLC方法相结合已在HH的质量控制中得到了定量和定性验证，并将为中药提供一种新的质量评价模式。
