Establishment of Authenticity and Species Prediction Models of Rhei Radix et Rhizoma Based on UPLC-PLS-DA
CHEN An-zhen1, JIANG Wan-feng1, YUAN Hang1, SUN Lei2,3, WU Ai-ying1, LI Xin-rong1, MA Shuang-cheng2
1. Qingdao Institute for Food and Drug Control, Qingdao, 266071, China; 2. National Institutes for Food and Drug Control, Beijing 100050, China; 3. Xinjiang Institute for Food and Drug Control, Urumqi 830004, China
Abstract��OBJECTIVE To establish new category identification models of Rhei Radix et Rhizoma for authenticity and species prediction. METHODS The samples were extracted by ultrasonic with methanol, separated by UPLC and detected by DAD. Data were processed and screened by MPP software to reveal the variation of components of Rhei Radix et Rhizoma. The category prediction models were established to distinguish authentic from unauthentic Rhei Radix et Rhizoma and three species of authentic Rhubarb. RESULTS These models were confirmed to prensent prediction accuracy of 100%. Fifteen samples were predicted and classified with confidence level of greater than 0.57. CONCLUSION The prediction model is simple, reliable and accurate. It is suitable for the identification and quality evaluation of different species of Rhei Radix et Rhizoma crude drugs and decoction pieces.
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CHEN An-zhen, JIANG Wan-feng, YUAN Hang, SUN Lei, WU Ai-ying, LI Xin-rong, MA Shuang-cheng. Establishment of Authenticity and Species Prediction Models of Rhei Radix et Rhizoma Based on UPLC-PLS-DA. Chinese Pharmaceutical Journal, 2016, 51(3): 197-202.
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2016, Vol. 51 
