指纹(计算)
质量评定
传统医学
槲皮素
化学
计算机科学
色谱法
抗氧化剂
评价方法
生物化学
医学
人工智能
工程类
可靠性工程
作者
Zong-Liang Sun,Yuzhen Zhang,Feng Zhang,Jiawei Zhang,Guocan Zheng,Ling Tan,Chong‐Zhi Wang,Lian‐Di Zhou,Qi‐Hui Zhang,Chun‐Su Yuan
出处
期刊:Food & Function
[The Royal Society of Chemistry]
日期:2018-01-01
卷期号:9 (7): 3807-3814
被引量:23
摘要
An efficient method combined with fingerprint and chemometric analyses was developed to evaluate the quality of the traditional Chinese medicine plant Penthorum chinense Pursh. Nine samples were collected from different regions during different harvest periods, and 17 components in the form of extracts were simultaneously examined to assess quality by using high-performance liquid chromatography. The hepatoprotective effects of components were investigated by assessing the inhibition of SMMC-7721 cell growth. The results indicated that the quality control method was accurate, stable, and reliable, and the hierarchical heat-map cluster and the principle component analyses confirmed that the classification of all nine samples was consistent. Quercetin and ellagitannins including pinocembrin-7-O-[3''-O-galloyl-4'',6''-hexahydroxydiphenoyl]-β-glucose (PGHG), thonningianin A, thonningianin B, and other flavonoids were abundant in the extracts, and significantly contributed to the hepatoprotective effects.
科研通智能强力驱动
Strongly Powered by AbleSci AI