Objective:To establish the analytical method for characteristic fingerprint of Scutellaria baicalensis by UPLC-MS

which can be used as a more effective method for its quality assessment. Method: Samples from 10 habitats were extracted in turn by 70% methanol and 100% methanol

and the combined solution was analyzed by UPL-ESI-TOF/MS to acquire their chromatograms. The common peaks were selected according to the retention time and the m/z value of molecular ion

and the peak area was calculated in the corresponding extracted ion chromatogram. Finally the similarity of the relative peak area was calculated by the correlation coefficient and the cosine value of vectorial angle. Result: Twenty three common peaks were selected to establish the UPLC-MS characteristic fingerprint of S. baicalensis. The samples of S. baicalensis from 10 habitats had a good similarity more than 0.9. Conclusion: The UPLC-MS characteristic fingerprint of S. baicalensis is accuracy and reproducible

and the method can be applied to the quality assessment of S. baicalensis.