Quality Evaluation of Radix et Rhizoma Rhei Based on Gray Correlational Analysis and Functional Components
- VernacularTitle:基于灰色关联分析和功效组分的大黄药材质量评价
- Author:
Jianting GONG
1
,
2
;
Li LI
;
Huiqin ZOU
;
Jinxia ZHANG
;
Dong XU
;
Kechen MAO
;
Huirong CHEN
;
Mingming ZHANG
;
Ruiqi YANG
Author Information
- Keywords: Radix et Rhizoma Rhei; gray correlation analysis; quality evaluation; pattern recognition; functional components
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2018;20(10):1808-1815
- CountryChina
- Language:Chinese
- Abstract: Objective: To comprehensively evaluate the quality of Radix et Rhizoma Rhei based on gray correlationalanalysis and functional components, and to explore the difference of Radix et Rhizoma Rhei in different genuineproducing areas. Methods: HPLC was utilized to analyze 14 main compositions contained in the samples, includingemodin, rhein, chrysophanol, aloe-emodin, physcion, rheinoside, physcion glucoside, chrysophan, aloe-emodinglucoside, emodin methyl glycoside, sennoside, sennoside B, catechin and gallic acid. Then python 2.7 software wasemployed for gray correlation analysis of functional components closely related to the traditional efficacy of Radix et Rhizoma Rhei. Results: The qualities of Radix et Rhizoma Rhei grow in different areas were different. Tanggute Radix et Rhizoma Rhei grew in Tianzhu Gansu had the best effects of "expelling water retention and attacking the accumulation", and that grew in Yajiang Sichuan had the best effects of "clearing heat and removing toxin". Zhangye Radix et Rhizoma Rhei grew in Lixian Gansu had the best effect of"expelling stasis and unblocking the channels". Conclusion: Patternrecognition has broad prospects in the field of quality evaluation of traditional Chinese medicine. From the clinicalefficacy of traditional Chinese medicine, pattern recognition at the level of efficacy components can provide a new ideafor establishing a more complete and scientific quality evaluation system for traditional Chinese medicine.
