Analysis of the Correlation between Commodity Grade and Quality of Angelica sinensis by Determination of Active Compounds Using Ultraperformance Liquid Chromatography Coupled with Chemometrics. (14th April 2014)

• Record Type: Journal Article
• Authors: Wang, Zenghui; Wang, Dongmei; Huang, Linfang
• Other Names: Wu Shi-Biao Academic Editor.
• Is Part Of: Evidence-based complementary and alternative medicine. Volume 2014(2014)
• Publication Date: 2014-04-14
• Subjects: Alternative medicine -- Periodicals; 615.505
• DOI: 10.1155/2014/143286
• Languages: English
• ISSNs: 1741-427X

Abstract

Abstract : The contents of ferulic acid, senkyunolide A, butylidenephthalide, ligustilide, and n-butylphthalide were determined by UPLC analytical method; the correlation among the grade, average weight, and content was explored by correlation analysis and analysis of variance (ANOVA); the different commercial grades with average weight and content were revealed by principal component analysis (PCA) and then rationality analysis grade classification of A. sinensis . The results showed that various commercial grades can be distinguished by PCA analysis. And there was significant negative correlation between the commodity grades and average weight, commodity, and the content of bioactive compounds, while the content of senkyunolide A had significant negative correlation with commodity grades (P < 0.01 ). Average weight had no correlation with chemicals compounds. Additionally, there was significant positive correlation among the bioactive compounds (content of ferulic acid and phthalides) of different grades of A. sinensis . The content of senkyunolide A, butylidenephthalide, and ligustilide had significant positive correlation with the content of ferulic acid. The content of ligustilide and butylidenephthalide had significant positive correlation with the content of senkyunolide A. The content of ligustilide had significant positive correlation with the content of butylidenephthalide. The basis of grades classification is related with the difference levels of the bioactive compounds.