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Quality Assessment and Antioxidant Activities of the Blossoms of Inula Nervosa Wall.

Authors :
Li-Xia Hu
Mei-Feng Luo
Wen-Jing Guo
Xiao He
Jun Zhou
Xiao-Yu Qiu
Jian-Ping Gong
Meng-Chu Li
Xin-Tao Chen
Dong Wu
Wen-Ping Huang
Source :
Journal of AOAC International. May/Jun2021, Vol. 104 Issue 3, p818-826. 9p.
Publication Year :
2021

Abstract

Background: Currently, although Inula nervosa Wall is substantially investigated, little is understood about blossoms of Inula nervosa Wall (BINW). Objective: In this work, we systematically investigated the antioxidant activity of the extract from BINW by various standard assays including 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical ability, 2,20-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) di-ammonium salt radical cation (ABTS), and ferric reducing antioxidant potential (FRAP). Methods: Chemical compounds were tentatively identified through an UHPLC-QTOF-MS system. Furthermore, the contents of nine compounds were detected with UHPLC method coupled with photodiode array (PDA) detector. By carefully analyzing the quantitative data via clusters analysis and principal component analysis (PCA). Results: Forty-six compounds were tentatively identified, and our results showed that nine compound samples in 21 batches of BINW collected from different areas could be differentiated and analyzed by a heatmap visualization. In addition, the contents of nine compounds (flavonoids, phenolic acids) exhibited a total of higher amounts and better antioxidant activities from Yunnan than those from the other three origins. Conclusions: Our study not only developed a powerful platform to explain the difference between traditional Chinese medicines species that are closely related through the chemometric and chemical profiling, but also presented a useful method to establish quality criteria of BINW with multiple origins. Highlights: To characterize the BINW in detail, we not only performed DPPH, FRAP, and ABTS assays to investigate its antioxidant activity, but also established UHPLC-QTOF-MS/MS- and UHPLC-PDA-based methods to comprehensively identify and qualitatively analyze its components. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10603271
Volume :
104
Issue :
3
Database :
Academic Search Index
Journal :
Journal of AOAC International
Publication Type :
Academic Journal
Accession number :
152598249
Full Text :
https://doi.org/10.1093/jaoacint/qsaa143