As a commonly used traditional Chinese medicine (TCM), Gardeniae Fructus (GF) and its processed products, GF (stir-baked) and GF Praeparatus, have important medicinal value in clinical practice. Gardenia jasminoides var. radicans (GJVR) is a variant of GF, and because of the naming GJVR is often confused in the clinic with GF, resulting in medical misprescriptions. To distinguish GF and GJVR and study the changes before and after processing, the fingerprints of GF and GJVR are presented using HPLC, followed by hierarchical cluster analysis (HCA), principal component analysis (PCA), and partial least squares-discriminant analysis (PLS-DA). GF has purging and choleretic effects, and in this study, we determined the content of main active ingredients to preliminarily assess the GF and GJVR quality from the perspective of material basis. For PCA score plot, the samples fell into six clusters, the cross-validity Q2 (cum) = 0.842 and the cumulative contribution rate R2 x (cum) = 0.988, indicating that the model has a good precision. The results were then corroborated by HCA and PLS-DA method, showing that this methodology can distinguish GF and GJVR and can be used for the comparison of raw and two processed products. According to the model established by PLS-DA, eight components were identified as the most significant variables for discrimination. The results obtained by multiple model methods are consistent and verified by each other, providing a scientific reference for further clarification of the medicinal properties of GF and GJVR.
Keywords: chemical pattern recognition, Gardenia jasminoides var. radicans, Gardeniae Fructus, HPLC fingerprint, processed products.
© 2020 John Wiley & Sons, Ltd.