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Cited by 4,506

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties

Open access
Dai, Jin, Mumper, Russell J.·2010·Molecules

Abstract

Phenolics are broadly distributed in the plant kingdom and are the most abundant secondary metabolites of plants. Plant polyphenols have drawn increasing attention due to their potent antioxidant properties and their marked effects in the prevention of various oxidative stress associated diseases such as cancer. In the last few years, the identification and development of phenolic compounds or extracts from different plants has become a major area of health- and medical-related research. This review provides an updated and comprehensive overview on phenolic extraction, purification, analysis and quantification as well as their antioxidant properties. Furthermore, the anticancer effects of phenolics in-vitro and in-vivo animal models are viewed, including recent human intervention studies. Finally, possible mechanisms of action involving antioxidant and pro-oxidant activity as well as interference with cellular functions are discussed.

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Metadata

Authors
Dai, J., & Mumper, R. J.
Venue
Molecules
Publisher
MDPI AG
Published
2010-10-21
Volume
15
Issue
10
Pages
7313-7352
ISSN
1420-3049 (ISSN-L)
OpenAlex
W1965606785
Cited by
4,506
References
17
FWCI
47.03
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties. https://app.cochat.ai/papers/10.3390/molecules15107313
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Dai, J., & Mumper, R. J. (2010). Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties. Molecules. https://doi.org/10.3390/molecules15107313

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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.