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Cited by 1,833

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The chemistry and antioxidant properties of tocopherols and tocotrienols

Kamal‐Eldin, Afaf, Appelqvist, Lars‐Åke·1996·Lipids

Abstract

This article is a review of the fundamental chemistry of the tocopherols and tocotrienols relevant to their antioxidant action. Despite the general agreement that α‐tocopherol is the most efficient antioxidant and vitamin E homologue in vivo, there was always a considerable discrepancy in its “absolute” and “relative” antioxidant effectiveness in vitro, especially when compared to γ‐tocopherol. Many chemical, physical, biochemical, physicochemical, and other factors seem responsible for the observed discrepancy between the relative antioxidant potencies of the tocopherols in vivo and in vitro. This paper aims at highlighting some possible reasons for the observed differences between the tocopherols (α‐, β‐, γ‐, and δ‐) in relation to their interactions with the important chemical species involved in lipid peroxidation, specifically trace metal ions, singlet oxygen, nitrogen oxides, and antioxidant synergists. Although literature reports related to the chemistry of the tocotrienols are quite meager, they also were included in the discussion in virtue of their structural and functional resemblance to the tocopherols.

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Metadata

Authors
Kamal‐Eldin, A., & Appelqvist, L.
Venue
Lipids
Publisher
Wiley
Published
1996-07
Volume
31
Issue
7
Pages
671-701
ISSN
  • 0024-4201 (ISSN-L)
  • 1558-9307
OpenAlex
W1993000626
Cited by
1,833
References
2
FWCI
15.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The chemistry and antioxidant properties of tocopherols and tocotrienols. https://app.cochat.ai/papers/10.1007/bf02522884
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Kamal‐Eldin, A., & Appelqvist, L. (1996). The chemistry and antioxidant properties of tocopherols and tocotrienols. Lipids. https://doi.org/10.1007/bf02522884

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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.