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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Natural Antioxidants in Foods and Medicinal Plants: Extraction, Assessment and Resources

Open access
Xu, Dong-Ping, Li, Ya, Meng, Xiao, Zhou, Tong, Zhou, Yue, Zheng, Jie, Zhang, Jiao-Jiao, Li, Hua-Bin·2017·International Journal of Molecular Sciences

Abstract

Natural antioxidants are widely distributed in food and medicinal plants. These natural antioxidants, especially polyphenols and carotenoids, exhibit a wide range of biological effects, including anti-inflammatory, anti-aging, anti-atherosclerosis and anticancer. The effective extraction and proper assessment of antioxidants from food and medicinal plants are crucial to explore the potential antioxidant sources and promote the application in functional foods, pharmaceuticals and food additives. The present paper provides comprehensive information on the green extraction technologies of natural antioxidants, assessment of antioxidant activity at chemical and cellular based levels and their main resources from food and medicinal plants.

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Crossref · 10.3390/ijms18010096

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Metadata

Authors
Xu, D.-P., Li, Y., Meng, X., Zhou, T., Zhou, Y., Zheng, J., Zhang, J.-J., & Li, H.-B.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2017-01-05
Volume
18
Issue
1
Pages
96
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2571053339
Cited by
1,252
References
10
FWCI
45.67
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Natural Antioxidants in Foods and Medicinal Plants: Extraction, Assessment and Resources. https://app.cochat.ai/papers/10.3390/ijms18010096
The paper
Xu, D.-P., Li, Y., Meng, X., Zhou, T., Zhou, Y., Zheng, J., Zhang, J.-J., & Li, H.-B. (2017). Natural Antioxidants in Foods and Medicinal Plants: Extraction, Assessment and Resources. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms18010096

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.