Residential College | false |
Status | 已發表Published |
Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species | |
Zhao, Mingming1; Linghu, Ke-Gang1; Xiao, Linxuan1; Hua, Tianyi1; Zhao, Guanding1; Chen, Qiling1; Xiong, Shihang1; Shen, Liyu1; Yu, Jinyu1; Hou, Xiaotao2; Hao, Erwei2; Du, Zhengcai2; Deng, Jiagang2; Bai, Gang4; Chen, Xiaojia1; Li, Ling3; Li, Peng1; Yu, Hua1 | |
2022-10 | |
Source Publication | Food Research International |
ISSN | 0963-9969 |
Volume | 160Pages:111628 |
Abstract | The species of Camellia nitidissima Chi (CC) and C. euphlebia Merr. ex Sealy (CE) are two most important plant sources for commercialized herbal tea (Jinhuacha) worldwide. However, some other species of camellia genus are also sold as alternatives in market due to the great commercial value. In this study, the similarity and difference of CC and CE as well as C. insularis (CI) are comprehensively compared both in chemistry and pharmacology. Based on the ultraperformance liquid chromatography coupled with a hybrid quadrupole orthogonal time-of-flight mass spectrometer (UPLC-QTOF-MS) analysis, a sequential-optimization based new statistical model has been developed by combining the untargeted metabolomics and fingerprint analyses, and successfully applied for chemical pattern recognition and discrimination of three yellow camellias species. The results indicated that CC, CE and CI could be well discriminated with the optimized chemical combination including quercetin-3-O-rhamnoside (C2), okicamelliaside (C4), Kaempferol 7-O-rhamnoside (C6), Corymboside (C9), asiatic acid-glc-rha-xyl (C11) and 3′-methy-4′-glucoside-ellagic acid (C14). Moreover, the 30 % ethanolic extracts of yellow camellias species presented the optimal activities on anti-inflammation/anti-oxidation in LPS-stimulated Raw264.7 macrophages dose-dependently. The averaged 50 % inhibitory concentrations (IC50) on NO production were 754.68 ± 50.96, 1182.39 ± 22.10, 1527.83 ± 106.24 μg(herb)/mL, and ROS production were 311.70 ± 26.57, 332.64 ± 25.46, 917.60 ± 41.36 μg(herb)/mL for CC, CE and CI, respectively. The results indicated a certain similarity of CC and CE, as well as their significant difference from CI. |
Keyword | Yellow Camellias Discrimination Metabolomics Fingerprint Anti -inflammation Anti -oxidant |
DOI | 10.1016/j.foodres.2022.111628 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Food Science & Technology |
WOS Subject | Food Science & Technology |
WOS ID | WOS:000858916000001 |
Publisher | ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS |
Scopus ID | 2-s2.0-85136139541 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF QUALITY RESEARCH IN CHINESE MEDICINE (UNIVERSITY OF MACAU) Institute of Chinese Medical Sciences |
Corresponding Author | Li, Ling; Li, Peng; Yu, Hua |
Affiliation | 1.University of macau 2.Guangxi University of Chinese Medicine 3.Xihua University 4.Nankai University |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Zhao, Mingming,Linghu, Ke-Gang,Xiao, Linxuan,et al. Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species[J]. Food Research International, 2022, 160, 111628. |
APA | Zhao, Mingming., Linghu, Ke-Gang., Xiao, Linxuan., Hua, Tianyi., Zhao, Guanding., Chen, Qiling., Xiong, Shihang., Shen, Liyu., Yu, Jinyu., Hou, Xiaotao., Hao, Erwei., Du, Zhengcai., Deng, Jiagang., Bai, Gang., Chen, Xiaojia., Li, Ling., Li, Peng., & Yu, Hua (2022). Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species. Food Research International, 160, 111628. |
MLA | Zhao, Mingming,et al."Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species".Food Research International 160(2022):111628. |
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