ABSTRACT
Objective: To explore the potential Q-markers between crude Scutellaria baicalensis (CSR) and wine-processed S. baicalensis (WSR) based on "components-targets-metabolism" network analysis. Methods: According to the differential components between CSR and WSR, the network relationship of "components-target-metabolomics" was constructed combining network pharmacology and metabolomics. The correlation analysis was then conducted between flavonoids glycosides, and aglycones in S. baicalensis, between differential components and endogenous metabolites to predict the potential quality markers. Results: In this study, combining the results of network pharmacology and metabolomics, baicalin and oroxylin A-7-O-glucuronide were regarded as the quality markers of CSR; Baicalein and wogonin were considered as the quality markers of WSR. Conclusion: It is crucial wine-processed mechanism of S. baicalensis that glutinous rice wine can promote the dissolution and absorption of aglycones. Overall, identification of the differences between Chinese herbal decoction pieces and it processed product, combining analysis of network pharmacology and metabolomics, which provides a demonstration for the investigation of quality markers of Chinese herbal pieces.
ABSTRACT
Objective: To establish HPLC specific chromatograms of Puerariae Lobatae Radix(PLR) and Puerariae Thomsonii Radix(PTR), and make a distinction about their species and different habitats of PLR by chemical pattern recognition, provide reliable methods for scientific evaluation and effective control of their quality. Method: HPLC was employed to determine the contents of chemical ingredients in 23 batches of PLR and PTR.The similarity analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica"(version of 2004A), then a common pattern was established.Based on its chemical fingerprint information, the quality of PLR and PTR was comprehensively analyzed by three kinds of chemical pattern recognition methods. Result: In addition to sample S22(from Shaanxi province), the similarities of 23 batches of samples were more than 0.9, which showed that similarity of PLR and PTR was good, this method can not differentiate them.Principal component analysis(PCA) could only identify PLR and PTR, but partial least squares-discriminant analysis(PLS-DA) could distinguish PLR from PTR and the producing areas of PLR with model interpretation of 96.4% and prediction of 74.6%.The result of hierarchical cluster analysis(HCA) was consistent with PLS-DA. Conclusion: Chemical pattern recognition method can make a distinction between PLR and PTR, as well as different habitats of PLR;it is suitable for quality control of their medicinal materials.
ABSTRACT
Decoction pieces are important raw materials in the production of traditional Chinese medicine( TCM),and their quality could directly affect the clinical efficacy and medication safety. Research on the production and processing technology of TCM is the basis for the normalization and standardization of Chinese medicine decoction pieces. At present,the production and processing standards for Scutellaria baicalensis pieces are non-regulated,lacking data foundation. In this study,with baicalin,baicalein,wogonoside and wogonin contents as evaluation indicators,single factor experiment was designed to optimize the softening,drying and cutting processes of S. baicalensis,providing a basis for the standardization of their production and processing. The effects of different softening,drying and cutting processes on the contents of the main components in S. baicalensis were comprehensively analyzed by the summation of relative differences. RESULTS:: showed that the contents of the four components and comprehensive indexes were affected by different softening methods and drying temperatures. The content of wogonin in boiling method was higher than that in boiling with cold water,and the content of glycosides in 70 ℃ drying condition was higher than that in other groups. The content of baicalin was significantly affected by different cutting thicknesses,but not by comprehensive index. Eventually,the optimal preparation process for S. baicalensis was determined as follows: boiled in boiling water for 20 min,cut into thin slices( 1-2 mm),and then dried at 70 ℃ in blast drier. This process was close to the actual production,practical and feasible and meanwhile,it was of great significance to improve the quality of S. baicalensis pieces.