Objective: To establish an HPLC characteristic chromatogram of Jinye Baidu granules and determine the active principle ingredients. Meanwhile, chemometrics methods such as cluster analysis(CA) and principal component analysis(PCA) were used for comprehensive evaluation of Jinye Baidu granules. Methods: The fingerprint of Jinye Baidu granules was established by HPLC. Twenty-two common peaks were confirmed and eight of them were identified as chlorogenic acid, caffeic acid, luteolin-7-O-glucoside, 3, 5-O-dicaffeoylquinic acid, 4, 5-dicaffeoylquinic acid, quercetin, chicoric acid, and indirabin by comparison with reference substances, and their contents in samples were simultaneously determined. The chemometrics methods such as CA, PCA and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to evaluate the quality of 15 batches of Jinye Baidu granules based on the results of fingerprint and content determination. Results: The similarity of 15 batches of Jinye Baidu granules were all above 0.98. The contents of the above mentioned eight components in 15 batches of Jinye Baidu granules were 2.456-2.123, 1.635-1.401, 0.966-0.828, 0.654-0.518, 0.469-0.278, 0.789-0.605, 1.362-0.903, 0.551-0.433 mg·g-1, respectively. The linearity was good(r≥0.999 4) and the average recoveries were 99.3%, 98.3%, 98.6%, 98.9%, 98.3%, 98.6%, 98.8% and 99.1%, respectively with RSDs less than 2.0%. Precision, stability and reproducibility of the method were satisfactory. CA and PCA showed that 15 batches of Jinye Baidu granules were clearly divided into three categories, significant characteristic peaks for discrimination of different samples were chicoric acid, chlorogenic acid and caffeic acid. Conclusion: The method is accurate and reliable, and it can be used to control and comprehensively evaluate the quality of Jinye Baidu granules.
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