Objective  To establish the fingerprint of Fangshu Qingre mixture and evaluate its quality in combination with chemical pattern recognition.

Methods  Using 3, 5-O-dicaffeoyl quinic acid as the reference peak, ultra performance liquid chrmatography (UPLC) fingerprint of 10 batches of Fangshu Qingre mixture were established with Similarity Evaluation System for Chromatographic Fingerprint of TCM (2012 edition). The common peaks were identified and similarity evaluation were conducted, to determine the attribution of each common peak. The cluster analysis (CA), principal component analysis (PCA) and orthogonal partial least squares method-discriminant analysis (OPLS-DA) in the chemical pattern recognition method were used to determine the differential components affecting the quality of the preparations.

Results  There were 31 common peaks in the fingerprints of 10 batches of Fangshu Qingre mixture, and their similarities were between 0.975 and 0.996. Six common peaks were identified, including peak 9 (chlorogenic acid), peak 19 (luteolin -7-O-β-D-glucoside), peak 21 (3, 5-O-dicafeoyl quinic acid), peak 23 (hesperidin), peak 29 ( linarin), and peak 31 (patchoulone). CA and PCA divided 10 batches of Fangshu Qingre mixture into 3 categories. The results of PCA showed that the cumulative variance contribution rate of principal components 1~6 was 95.947%. The results of OPLS-DA showed that there were 13 peaks VIP greater than 1, which was the difference component.

Conclusion  The method is simple and sensitive, can be used to evaluate the quality of Fangshu Qingre mixture.

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