A method of quality evaluation by a single standard to determine multi-components (SSDMC), fingerprint and highperformance 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.