- VernacularTitle: 中药三七不同药用部位的指纹图谱及模式识别研究
- Author:
Zhe MENG
1
Author Information
- Publication Type:Journal Article
- Keywords: Chemical pattern recognition; HPLC fingerprint; Panax notoginseng; Partial least squares-discriminant analysis; Principal component analysis
- From: Chinese Pharmaceutical Journal 2020;55(7):504-509
- CountryChina
- Language:Chinese
- Abstract: OBJECTIVE: To establish a chemical pattern recognition method for Panax notoginseng (P. notoginseng) and classify the main root, rhizome, and rootlet. METHODS: The fingerprints of P. notoginseng samples in three different parts were established based on HPLC method. The similarity was calculated by the Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine (2012 edition). The pattern recognition were carried out by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). RESULTS: The HPLC fingerprint common pattern of 35 batches of P. notoginseng samples was established. Similarity values were in the range of 0.994 to 1.000, which indicated that similarity analysis could not classify them. The established PCA model could only identify the rhizome, besides PLS-DA can completely identify the three parts of P. notoginseng. Seven characteristic peaks, such as ginsenoside Rg1, ginsenosides Rb1 were screened as biomarkers. CONCLUSION: The combination of HPLC fingerprint and chemical pattern recognition could provide a comprehensive reference for the quality control and quality evaluation of P. notoginseng.