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Cited by 5,650

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Standardized Methods for the Determination of Antioxidant Capacity and Phenolics in Foods and Dietary Supplements

Prior, Ronald L., Wu, Xianli, Schaich, Karen·2005·Journal of Agricultural and Food Chemistry
DOI 10.1021/jf0502698
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Abstract

Methods available for the measurement of antioxidant capacity are reviewed, presenting the general chemistry underlying the assays, the types of molecules detected, and the most important advantages and shortcomings of each method. This overview provides a basis and rationale for developing standardized antioxidant capacity methods for the food, nutraceutical, and dietary supplement industries. From evaluation of data presented at the First International Congress on Antioxidant Methods in 2004 and in the literature, as well as consideration of potential end uses of antioxidants, it is proposed that procedures and applications for three assays be considered for standardization: the oxygen radical absorbance capacity (ORAC) assay, the Folin-Ciocalteu method, and possibly the Trolox equivalent antioxidant capacity (TEAC) assay. ORAC represent a hydrogen atom transfer (HAT) reaction mechanism, which is most relevant to human biology. The Folin-Ciocalteu method is an electron transfer (ET) based assay and gives reducing capacity, which has normally been expressed as phenolic contents. The TEAC assay represents a second ET-based method. Other assays may need to be considered in the future as more is learned about some of the other radical sources and their importance to human biology.

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Metadata

Authors
Prior, R. L., Wu, X., & Schaich, K.
Venue
Journal of Agricultural and Food Chemistry
Publisher
American Chemical Society (ACS)
Published
2005-04-26
Volume
53
Issue
10
Pages
4290-4302
ISSN
  • 0021-8561 (ISSN-L)
  • 1520-5118
DOI
10.1021/jf0502698
OpenAlex
W2072348601
Cited by
5,650
References
6
FWCI
45.89
Type
journal article
Language
en
Open access
closed

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

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