指纹(计算)
化学
百里香科
色谱法
传统医学
DPPH
化学成分
阳性对照
抗氧化剂
植物
人工智能
生物
医学
生物化学
计算机科学
作者
Wen‐Juan Du,Jun Ji,Ling Wang,Xin‐Yi Lan,Jia Li,Jun‐Qiu Lei,Xin He,Chun‐Feng Zhang,Wenzhe Huang,Zhenzhong Wang,Wei Xiao,Chong‐Zhi Wang,Chun‐Su Yuan
摘要
Abstract Daphne genkwa Sieb.et Zucc. is a well‐known medicinal plant. This study was designed to apply the ultra‐high performance liquid chromatography system to establish a quality control method for D. genkwa. Data revealed that there were 15 common peaks in 10 batches of D. genkwa Sieb. Et Zucc. (Thymelaeaceae) from different provinces of China. On this basis, the fingerprint chromatogram was established to provide references for quality control. Afterwards, the chemical constitutions of these common peaks were analyzed using the UPLC‐Q‐TOF‐MS system and nine of them were identified. In addition, LPS‐stimulated RAW264.7 murine macrophages and DPPH assay were used to study the anti‐inflammatory and anti‐oxidation effects of D. genkwa . Then the fingerprint–efficacy relationships between UPLC fingerprints and pharmacodynamic data were studied with canonical correlation analysis. Analysis results indicated that the anti‐inflammatory and anti‐oxidation effects differed among the 10 D. genkwa samples owing to their inherent differences of chemical compositions. Taken together, this research established a fingerprint–efficacy relationship model of D. genkwa plant by combining the UPLC analytic technique and pharmacological research, which provided references for the detection of the principal components of traditional Chinese medicine on bioactivity.
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