Objective: To establish the HPLC fingerprint of bioflavonoids in Selaginella doederleinii from different origins

and cluster analysis and principal component analysis are made

in order to evaluate the quality of S. doederleinii.Method: Dikma Diamons C18 column(4.6 mm×150 mm

5 μm) was adopted and eluted in a gradient mode

with acetonitrile-0.1% formic acid solution as the mobile phase. The column temperature was 25℃; the flow rate of the mobile phase was 0.6 mL · min-1; the detection wavelength was 330 nm

and the injection volume was 10 μL. The fingerprints of 10 batches of S. doederleinii were further evaluated by chemometric methods. The similarity was analyzed with 'Similarity Evaluation System for Chromatographic Fingerprint of Chinese medicine'(2004A)

and the hierarchical clustering analysis (HCA) and principal component analysis (PCA) were performed by SPSS 17.0.Result: The relative standard deviations of the methodology were <2.0%

indicating a goodprecision of the instruments

a high samplestability within 24 hours and a high accuracy of the method. There were 9 common peaks; and three chemical components were identified as amentoflavone

ginkgetin and hinokiflavone by comparing with control products. The similarity degrees of the 10 batches of samples were more than 0.850

indicatinga good consistency for all of the samples from different origins. The samples were divided into three categoriesby HCA. The first category is those from Chongqing and Sichuan

the second category is from Guizhou

andthe third category is from Guangxi. The accumulative variance contribution was 98.096% for two principal components.Conclusion: The method features a high precision

good repeatability and easy operation

and can provide reference for the quality evaluation of S. doederleinii.