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Cited by 284

The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.

Interactions between milk proteins and polyphenols: Binding mechanisms, related changes, and the future trends in the dairy industry

Yildirim-Elikoglu, Seda, Erdem, Yasar Kemal·2018·Food Reviews International

Abstract

The biological activity and techno-functional properties of phenolic compounds have gained great importance due to the epidemiologically-proved health benefits. Use of polyphenols as fortification agents for functional food production and nanotechnological approaches using natural vehicles for polyphenol delivery have been recently discussed. In this respect, milk proteins and dairy products represent unique characteristics for polyphenol studies. The conflicting results on the functionality of polyphenols interacting with milk proteins either in model systems or in complex dairy matrices reveal the need for future studies.

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Crossref · 10.1080/87559129.2017.1377225

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Metadata

Authors
Yildirim-Elikoglu, S., & Erdem, Y. K.
Venue
Food Reviews International
Published
2017-09-21
Volume
34
Issue
7
Pages
665-697
ISSN
  • 1525-6103 (ISSN-L)
  • 8755-9129
OpenAlex
W2752787057
Cited by
284
References
113
FWCI
10.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interactions between milk proteins and polyphenols: Binding mechanisms, related changes, and the future trends in the dairy industry. https://app.cochat.ai/papers/10.1080/87559129.2017.1377225
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Yildirim-Elikoglu, S., & Erdem, Y. K. (2018). Interactions between milk proteins and polyphenols: Binding mechanisms, related changes, and the future trends in the dairy industry. Food Reviews International. https://doi.org/10.1080/87559129.2017.1377225

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.