Fingerprint analysis and chemical pattern recognition for whole plant of Phyllanthus urinaria
10.7501/j.issn.0253-2670.2015.04.021
- Author:
Ling-Fang WU
1
Author Information
1. School of Chinese Materia Medica, Beijing University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
Cluster analysis;
Fingerprint;
HPLC;
Pattern recognition;
Whole plant of Phyllanthus urinaria L.
- From:
Chinese Traditional and Herbal Drugs
2015;46(4):572-575
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish the HPLC fingerprint and its evaluation system for the whole plant of Phyllanthus urinaria. Methods: Diamonsil C18 column (250 mm × 4.6 mm, 5 μm)was used with acetonitrile and 0.2% acetic acid solution in gradient elution mode. The detective wavelength was 270 nm and the flow rate was 1.0 mL/min. The fingerprints for the whole plant of P. urinaria and phenolic acids part from nine different sources were set up, the similarity assay for the whole plant of P. urinaria from nine different sources was carried out to evaluate their quality by Chinese material medica (CMM) fingerprint similarity evaluation system ( 2004A edition), and the peaks were identified by comparing the reference substance with LC-MS/MS. Results: The common mode of HPLC fingerprints for the whole plant of P. urinaria were set up. There were 16 common peaks in the fingerprints and eight peaks were identified. The cluster analysis and principal component analysis were applied to studying the HPLC fingerprint and chemical pattern recognition. Conclusion: The combination of fingerprint and chemical pattern recognition is an effective method for the quality control of the whole plant of P. urinaria. The study lays the foundation for the full quality evaluation for the whole plant of P. urinaria.
