The HPLC fingerprints and multi-component content determination combined with chemical pattern recognition were developed to evaluate the quality of Peucedani Radix obtained from various regions.The Agilent SB-C₁₈ column (4.6 mm × 250 mm,5 μm) was used for the analysis,with a methyl alcohol-0.5% formic acid solution serving as the mobile phase,a volume flow rate of 0.5 mL/min,and a detective wavelength of 321 nm.hierarchical cluster analysis (HCA),principal component analysis (PCA),and partial least squares discrimination analysis (PLS-DA) were used to analyze the fingerprints.The results showed that nine common peaks were identified out of a total of 21 common peaks that were matched among 16 batches of Peucedani Radix that ranged in similarity from 0.966 to 0.999.Sixteen batches of samples were divided into three groups during chemical pattern recognition analysis,the first group was primarily from Ningguo and Bozhou in the province of Anhui,the second group was primarily from Hunan,Guizhou and Chongqing province,and the third group was the high altitude characteristic of the Peucedani Radix.The results also indicated that the content of bergapten,praeruptorin A,praeruptorin B and praeruptorin E in samples from various regions ranged from 0.016 7 mg/g to 0.131 9 mg/g,6.069 6 mg/g to 16.225 5 mg/g,0.426 5 mg/g to 2.010 0 mg/g,0.013 4 mg/g to 0.031 2 mg/g,respectively.The established method,which has strong specificity,high stability and good separation,can efficiently assess the quality of Peucedani Radix.