UPLC Fingerprint and Chemical Pattern Recognition Method of Scutellaria Baicalensis Stem-Leaf from Different Regions

OBJECTIVE To study and establish the UPLC fingerprint of Scutellaria baicalensis stem-leaf(SBSL) and rapidly identify the specific peaks by UPLC-QTOF/MS， and combined with the study of chemical pattern recognition to provide scientific basis for resources circulating utilization of the SBSL. METHODS The fingerprint of SBSL was established by UPLC， the samples were conducted by ACQUITY UPLC BEH C₁₈ (100mm×2.1mm， 1.7μm) and eluted with acetonitrile and 0.1% formic acid with the flow rate of 0.4mL/min. The detection wavelength was set at 254nm and column temperature was 35℃. Negative ion mode was chosen for qualitative analysis. The capillary voltage was set at 3.0kV. The nebulization gas was set to 800L/h at 400℃， and the source temperature was 120℃. The similarity evaluation， cluster analysis (CA)， and principal component analysis (PCA) were used to deal with the experimental data， in order to find out the similarities and differences among the 11 batches of SBSL from 10 different regions. RESULTS The specific chromatogram of SBSL was obtained， and 19 common peaks were identified by ESI-QTOF/MS. Similarities of the 11 batches of samples from 10 regions were over 0.9， the results of CA and PCA were consistent with similarity evaluation. CONCLUSION The method established in this paper is rapid， accurate， reliable and reproducible. The establishment of UPLC fingerprint of SBSL and the application of chemical pattern recognition can provide a more comprehensive reference for the quality control of SBSL and the resources circulating utilization value of non-medicinal parts of S. baicalensis.