Objective: To establish a method of HPLC fingerprint and chemical pattern recognition of Fructus Evodiae. Method: The chromatographic separation was performed on a C18 column (4.6 mm×150 mm

3 μm).The mobile phase was a mixture of acetonitrile-0.1%acetic acid aqueous solution in gradient elution.The flow rate was 0.8 mL·min-1

the detection wavelength was 245 nm

the injection volume was 10 μL and the column temperature was 25℃.Then

the data from HPLC fingerprint were analyzed by similarity evaluation

principle component analysis and system cluster analysis. Result: The HPLC fingerprint of 34 batches Fructus Evodiae from different habits and varieties were set up and 11 common peaks were obtained.The RSD of the relative retention time of the common peaks was below 1%. The RSD of the relative peaks area was relative big. The distance between the three species of Fructus evodiae could be clustered by clustering analysis and principle component analysis method for the first time. Conclusion: The clustering analysis and principle component analysis method could be used for the quality control and comprehensive evaluation of Fructus Evodiae.