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UPLC Fingerprint and Chemical Pattern Recognition Method of Gardeniae Fructus from Different Producing Areas

??OBJECTIVE To establish the UPLC fingerprint of Gardeniae Fructus for providing reference for effective quality control. METHODS The samples were analyzed on a Waters ACQUITY UPLC BEH C₁₈ (2.1 mm??50 mm,1.7 ??m) column maintained at 30 ?? and eluted with methanol and water containing 0.02% phosphoric acid as mobile phases in a linear gradient mode.The flow rate was set at 0.4 mL??min^-1 and the injection volume was 0.2 ??L. The detection wavelengths were set at 238 nm (0-5.4 min) and 440 nm (5.4-10 min).RESULTS The fingerprints of 16 batches of samples were analyzed with similarity evaluation, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The common mode of the fingerprint was established with 24 common peaks, and four of them were identified, which were genipin 1-gentiobioside (4), gardenoside (6), crocin ?? (15), and crocin ?? (17). The similarity degrees of the 16 batches of samples were between 0.986 0 and 0.995 0. The samples were divided into two groups, ZheJiang (S1-S6) and other areas (S7-S16), analyzed by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Eleven significantly different components were found, including genipin1-gentiobioside, gardenoside, crocin ??, crocin ?? and some others. CONCLUSION The establishment of UPLC fingerprint of Gardeniae Fructus from different producing areas and the application of chemical pattern recognition can provide more comprehensive references for the quality control and evaluation of genuine Gardeniae Fructus from Zhejiang Province.