Objective: To establish the HPLC fingerprint of Rosae Laevigatae Fructus from Guangxi and make cluster analysis and principal component analysis in order to provide a basis for its quality control.Method: ODS column was used with methanol -0.2% phosphoric acid solution as the mobile phase for gradient elution. The column temperature was 25℃; the flow rate of the mobile phase was 0.8 mL·min-1; the detection wavelength was 255 nm

and the injection volume was 10 μL. Similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine (2012.1 version) was used to confirm the common peaks in 10 batches of samples and evaluate the similarity. SPSS 22.0 statistical software was used to make cluster analysis and principal component analysis for the HPLC fingerprint.Result: A total of thirteen common chromatographic peaks were identified in the software of chromatographical evaluation

and ten peaks of them with good stability

strong absorption peak

and obvious characteristics as common peaks. By comparing with control products

three chemical components were identified as catechin

hesperidin and rutin. The fingerprint similarity was greater than 0.96 for 10 batches of Rosae Laevigatae Fructus samples. 10 batches of samples from different areas were classified into three groups based on cluster analysis

and the accumulative variance contribution was 82.98% for two principal components.Conclusion: The study can provide data support for improving quality standards of Rosae Laevigatae Fructus from Guangxi

providing basis for quality evaluation and exploitation.