HPLC Fingerprint and Chemical Pattern Recognition of Valeriana jatamansi
CHENG Sheng-yong1, FU Yang1, YU Lin-na1, YIN Hang2, LIU Xin-fu1, LUO Xi-rong1*, YANG Jun3*
1. School of Pharmaceutical Sciences, Guizhou Medical University, Guiyang 550025, China; 2. The Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China; 3. Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
Abstract��OBJECTIVE To establish the HPLC fingerprint of Valeriana jatamansi and provide a reference for its effective quality control. METHODS The HPLC-DAD analysis was performed on Diamonsil�j C18 column (4.6 mm��250 mm, 5 ��m), with acetonitrile (A)-0.1% formic acid (B) solution as the mobile phase for gradient elution, the detection wavelength was set at 327 nm (0-33 min) and 256 nm (33-90 min), the flow rate was 1.0 mL��min-1, and the column temperature was maintained at 30 ��. The fingerprints of 25 batches of Valeriana jatamansi samples were analyzed by similarity analysis, hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (PLS-DA). RESULTS The fingerprints of 25 batches of Valeriana jatamansi samples were established. There were 36 common peaks in the fingerprints and nine common peaks were identified by reference substances. The fingerprints similarity of 18 batches of samples was over 0.9, and the samples were classified into two groups. Six components were the main markers that cause differences in different batches of samples, including valepotriate, acevaltrate, isochlorogenic acid A, and some others. CONCLUSION HPLC fingerprint combined with recognition of chemical pattern can reflect the intrinsic quality of Valeriana jatamansi, which may provide reference for the quality control and evaluation of Valeriana jatamansi.
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CHENG Sheng-yong , FU Yang , YU Lin-na , YIN Hang , LIU Xin-fu , LUO Xi-rong , YANG Jun. HPLC Fingerprint and Chemical Pattern Recognition of Valeriana jatamansi. Chinese Pharmaceutical Journal, 2019, 54(6): 489-493.
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2019, Vol. 54 
