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Quality Assessment and Antioxidant Activities of the Blossoms ofInula NervosaWall

阿布茨 菊粉 DPPH 化学 抗氧化剂 色谱法 传统医学 有机化学 中医药 医学 替代医学 病理
作者
Lixia Hu,Mei-Feng Luo,Wenjing Guo,Xiao He,Jun Zhou,Xiaoyu Qiu,Jianping Gong,Meng-Chu Li,Xin-Tao Chen,Dong Wu,Wenping Huang
出处
期刊:Journal of AOAC International [Oxford University Press]
卷期号:104 (3): 818-826 被引量:5
标识
DOI:10.1093/jaoacint/qsaa143
摘要

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, 2,2′-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.

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