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Tea phenols: Antioxidant effectiveness of teas, tea components, tea fractions and their binding with lipoproteins
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“Polyphenols are believed to be exceptionally powerful antioxidants, with effects comparable to those of vitamins, such as vitamins C and E, carotene and tocopherol [12,13,14].”
From Health Benefits and Chemical Composition of Matcha Green Tea: A Review (2020) · cites this paper as [14]
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Cites
Ascorbate is an outstanding antioxidant in human blood plasma
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Hertog, M. G. L. (1995) · Archives of Internal Medicine · doi:10.1001/archinte.1995.00430040053006 · Cited by 1,853
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Cited by
Shahidi, F., & Ambigaipalan, P. (2015) · Journal of Functional Foods · doi:10.1016/j.jff.2015.06.018 · Cited by 3,081
Review of methods to determine chain-breaking antioxidant activity in food
ROGINSKY, V, & LISSI, E. (2005) · Food Chemistry · doi:10.1016/j.foodchem.2004.08.004 · Cited by 855
Health Benefits and Chemical Composition of Matcha Green Tea: A Review
Kochman, J., Jakubczyk, K., Antoniewicz, J., Mruk, H., & Janda, K. (2020) · Molecules · doi:10.3390/molecules26010085 · Cited by 328
Metadata
- Authors
- Vinson, J. A., & Dabbagh, Y. A.
- Venue
- Nutrition Research
- Publisher
- Elsevier BV
- Published
- 1998-06
- Volume
- 18
- Issue
- 6
- Pages
- 1067-1075
- ISSN
- 0271-5317
- Cited by
- 71
- References
- 2
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Tea phenols: Antioxidant effectiveness of teas, tea components, tea fractions and their binding with lipoproteins. https://app.cochat.ai/papers/10.1016/s0271-5317(98)00089-x
- The paper
- Vinson, J. A., & Dabbagh, Y. A. (1998). Tea phenols: Antioxidant effectiveness of teas, tea components, tea fractions and their binding with lipoproteins. Nutrition Research. https://doi.org/10.1016/s0271-5317(98)00089-x
Data sources
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.