Spectrum-effect relationship between HPLC fingerprints and hypolipidemic effect of Curcuma aromatica
| Autor: | Youjiao Wu, Shushi Huang, Huagang Liu, Jie Feng, Meiqiong Liu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Clinical Biochemistry
Curcuma aromatica 01 natural sciences Biochemistry High-performance liquid chromatography Analytical Chemistry Curcuma Fingerprint Similarity analysis Drug Discovery Medicinal plants Molecular Biology Chromatography High Pressure Liquid Hypolipidemic Agents Pharmacology Chromatography biology Traditional medicine Plant Extracts 010405 organic chemistry Chemistry 010401 analytical chemistry Reproducibility of Results General Medicine biology.organism_classification 0104 chemical sciences Linear Models Gray relational analysis Multiple linear regression analysis |
| Zdroj: | Biomedical Chromatography. 32:e4220 |
| ISSN: | 0269-3879 |
| Popis: | Curcuma aromatica is used as a traditional Chinese medicine, and it is mainly distributed in Guangxi, China. In this study, 10 batches of C. aromatica were collected from different origins in Guangxi. The fingerprints were established by HPLC technique to investigate the quality stability of C. aromatica. The spectrum-effect relationship between HPLC fingerprints and hypolipidemic effect of C. aromatica was assessed by similarity analysis, gray relational analysis and multiple linear regression analysis. From the results, the similarity values between each batch of C. aromatica and reference fingerprint were >0.880, indicating the good quality stability of the 10 batches of C. aromatica. Twenty common peaks were selected as the fingerprints to evaluate the quality and hypolipidemic effect of C. aromatica. The results of spectrum-effect relationship showed that peaks 10, 18, 13, 15 and 17 in the fingerprints were closely related to hypolipidemic effect. This study successfully established the spectrum-effect relationship between HPLC fingerprints and hypolipidemic effect of C. aromatica, which provided methods for quality control and more effectively studies on bioactive compounds of C. aromatica. It could also provide a new simple and effective method for utilizing the fingerprints to optimize the Chinese prescription and develop traditional Chinese medicine. |
| Databáze: | OpenAIRE |
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