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Cited by 908

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Caffeine (1, 3, 7‐trimethylxanthine) in Foods: A Comprehensive Review on Consumption, Functionality, Safety, and Regulatory Matters

Heckman, Melanie A., Weil, Jorge, De Mejia, Elvira Gonzalez·2010·Journal of Food Science

Abstract

ABSTRACT: Caffeine ranks as one of the top most commonly consumed dietary ingredients throughout the world. It is naturally found in coffee beans, cacao beans, kola nuts, guarana berries, and tea leaves including yerba mate. The total daily intake, as well as the major source of caffeine varies globally; however, coffee and tea are the 2 most prominent sources. Soft drinks are also a common source of caffeine as well as energy drinks, a category of functional beverages. Moderate caffeine consumption is considered safe and its use as a food ingredient has been approved, within certain limits, by numerous regulatory agencies around the world. Performance benefits attributed to caffeine include physical endurance, reduction of fatigue, and enhancing mental alertness and concentration. Caffeine has also been recently linked to weight loss and consequent reduction of the overall risks for developing the metabolic syndrome. However, the caloric contribution of caffeine‐sweetened beverages needs to be considered in the overall energy balance. Despite all these benefits the potential negative effects of excessive caffeine intake should also be considered, particularly in children and pregnant women.

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Crossref · 10.1111/j.1750-3841.2010.01561.x

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Metadata

Authors
Heckman, M. A., Weil, J., & De Mejia, E. G.
Venue
Journal of Food Science
Publisher
Wiley
Published
2010-04
Volume
75
Issue
3
Pages
R77-87
ISSN
  • 0022-1147 (ISSN-L)
  • 1750-3841
OpenAlex
W2120114161
Cited by
908
References
27
FWCI
20.91
Type
journal article
Language
en
Open access
closed

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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.