Résumé
Objective:To establish the UPLC fingerprint analysis method for Puerariae Lobamle Radix. Methods:The column was Agilent ZORBAX Eclipse Plus C18 column (2.1 mm×100 mm, 1.8 μm). The mobile phase consisted of acetonitrile (A)-0.1% formic acid (b), gradient elution, flow rate was 0.3 ml/min. The detection wavelength was 250 nm. The column temperature was set at 30 ℃. The sample volume was 2 μl, and the similarity evaluation system of traditional Chinese medicine fingerprint was adopted. The cluster analysis, principal component analysis and partial least square method in SPSS software were used to judge the differences of Pueraria lobata from different habitats.Results:With puerarin as reference peak, 22 common peaks were calibrated, and 6 peaks were identified. The similarity of 25 batches of samples was above 0.990 except S22 was 0.935, which indicated that the samples were with good consistency. Through cluster analysis, principal component analysis and partial least square analysis, 25 batches of Puerariae Lobamle Radix can be clustered into 4-5 categories, and different components such as 3'-hydroxy puerarin were found. The extraction process of Puerariae Lobamle Radix was optimized based on analytic hierarchy process and multi-index orthogonal test. The results showed that adding 50% ethanol 40 ml and refluxing for 40 min was the best extraction process. Conclusion:UPLC fingerprint is suitable for Puerariae Lobamle Radix, and the results are reliable. It can be used as a quality evaluation method for Puerariae Lobamle Radix.