Phellodendri Chinensis Cortex (PCC) and Phellodendri Amurensis Cortex (PAC) are increasingly being used as traditional herbal medicines, but they are often mistaken for each other. In this study, the fingerprints of PCC from six different geographical sources were obtained by high-performance liquid chromatography, and multivariate chemometric methods were used for comprehensive analysis. Two unsupervised pattern recognition models (principal component analysis and hierarchical cluster analysis) and a supervised pattern recognition model (partial least squares discriminant analysis) were established on the basis of the chemical composition and physical traits of PCC and PAC. PCC and PAC were found to be distinguishable by these methods. The PCC category was divisible into two categories, one with more crude cork and a maximum thickness of ~1.5 mm, and the other with less net crude cork and a maximum thickness of 0.5 mm. According to the model established by partial least squares discriminant analysis (PLS-DA), the important chemical marker berberine hydrochloride was obtained and analyzed quantitatively. From these results combined with chemometric and content analyses, the preliminary classification standards for phellodendron were established as three grades: superior, first-order and mixed. Compared with the traditional identification methods of thin layer chromatography identification and microscopic identification, our method for quality evaluation is relatively simple. It provides a basis and reference for identification of PCC and enables establishment of grade standards. It also could be applied in quality control for compound preparations containing PCC.
JinQi Jiangtang (JQJT) tablets, a Chinese patent medicine approved by the State Food and Drug Administration, are composed of Coptidis Rhizoma, Astragali Radix, and Lonicerae Japonicae Flos, and have a significant effect on diabetes. Coptidis Rhizoma is monarch drug in the prescription. The aim of the present study was to investigate and compare the pharmacokinetics of multiple ingredients from JQJT tablets and Coptidis Rhizoma extract (CRE) following oral administration in rats. Five alkaloids: coptisine chloride, epiberberine chloride, berberine chloride, jatrorrhizine chloride, and palmatine chloride, were simultaneously determined in rat plasma using established and validated ultra-high performance liquid chromatography mass spectrometry (UPLC-MS/MS). Significant pharmacokinetic differences were observed for the five alkaloids after a single administration of CRE and JQJT tablets. Compared with CRE, the Cmax values of palmatine chloride and jatrorrhizine chloride were decreased significantly, the AUC0–t values of four alkaloids (all except jatrorrhizine chloride) were notably decreased, and the mean residence times of all five alkaloids were significantly decreased after administration of JQJT tablets. The results indicated that the absorption characteristics of the five alkaloids from Coptidis Rhizoma would be influenced by the compatibility of Astragali Radix or Lonicerae Japonicae Flos from JQJT tablets, such that absorption was inhibited and elimination was accelerated. In conclusion, the developed strategy was suitable for the comparison of five alkaloids from JinQi Jiangtang tablets and its monarch drug, which could be valuable for compatibility studies of traditional Chinese medicines.
Scutellaria baicalensis Georgi (SBG) is not just as a traditional herbal medicine but also a popular functional food in China and other Asian countries. A sensitive simple strategy was developed for the first time to analyze SBG from eight different geographical sources using high-performance liquid chromatography (HPLC) coupled with multivariate chemometric methods. Two unsupervised pattern recognition models, hierarchical cluster analysis (HCA) and principal components analysis (PCA), and a supervised pattern recognition model, partial least squares discriminant analysis (PLS-DA), were used to analyze the chemical compositions and physical traits of SBG. The important chemical markers baicalin, baicalein, and wogonoside were analyzed quantitatively and with PLS-DA. These methods distinguished rotten xylem (kuqin) and strip types (tiaoqin) of SBG and found that the thickness of the slice had a significant impact on the classification of SBG. Two classes of strip types were identified: one as the uncut pharmaceutical, which was sectioned with a thickness >3 mm; the other as a thin-sectioned strip type, with a thickness of <2 mm. This fingerprinting technique coupled to a chemometric analysis was used for the simultaneous quantitation of three components (chemical markers) of SBG, and greatly simplified the complicated identification of the multiple components of this plant relative to traditional methods. The strategy can clearly distinguish between kuqin and tiaoqin of SBG, and suggests that the thickness of the slice can be used as the basis for evaluation of SBG. These data provide a theoretical basis and scientific evidence for the development and utilization of SBG.
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