RESUMO
OBJECTIV E To establish the method for evaluating the quality o f Plantago asi atica and fried P. asiatica . METHODS The fingerprints of 15 batches of P. asiatica and 15 batches of fried P. asiatica were established by HPLC. The common peaks were identified with the Similarity Evaluation System for Chromatographic Fingerprinting of TCM （2012 edition）， and similarity evaluation was performed. Analysis of chemical pattern recognition was performed by using SPSS 25.0 and SIMCA-P 14.1 software（cluster analysis ，principal component analysis and orthogonal partial least squares regression analysis ）. The markers which affected the difference in the quality between P. asiatica and fried P. asiatica were screened with variable importance projection（VIP）value greater than 1. RESULTS There were 18 common peaks in the fingerprints of 15 batches of P. asiatica and 13 common peaks in the fingerprints of 15 batches of fried P. asiatica . A total of 8 common peaks were found in both of them. Their similarities were greater than 0.920. Two common peaks were identified as geniposidic acid ，acteoside. The results of cluster analysis showed that when the spacing was 10，the 30 batches of samples could be clustered into three categories ，with S 1-S5 as one，S16-S20 as one ，S6-S15 and S 21-S30 as one . The results of the pri ncipal component analysis showed that the cumulative variance contribution rate of the first two principal components was 82.575％ . The results of the orthogonal partial least squares regression analysis showed that the VIP values of the three common peaks were greater than 1，namely peak E（acteoside）， peak D （geniposidic acid ） and peak G. CONCLUSIONS Established fingerprints are stable ，simple sina.com and rapid. It can be used for the quality evaluation of P. asiatica and fried P. asiatica ，by combining with analysis of chemical pattern recognition. Acteoside ，geniposidic acid and the component represented by peak G may be the markers affecting the difference in quality of P. asiatica and fried P. asiatica .