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Cited by 534

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A review of microencapsulation methods for food antioxidants: Principles, advantages, drawbacks and applications

Ozkan, Gulay, Franco, Paola, De Marco, Iolanda, Xiao, Jianbo, Capanoglu, Esra·2019·Food Chemistry

Abstract

Bioactivities and numerous health benefits against a number of oxidative stress related diseases have been attributed to the role of dietary antioxidants. The development of physical (spray drying, lyophilization, supercritical fluid precipitation and solvent evaporation), physico-chemical (coacervation, liposomes and ionic gelation) and chemical encapsulation techniques (interfacial polymerization and molecular inclusion complexation) enable to obtain healthier and acceptable bioactive compounds. This review focuses on the impacts of microencapsulation techniques on the encapsulation characteristics of food antioxidants. Additionally, this study also provides detailed information on the principles, effective parameters, advantages, disadvantages and applications of microencapsulation techniques.

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Crossref · 10.1016/j.foodchem.2018.07.205

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Metadata

Authors
Ozkan, G., Franco, P., De Marco, I., Xiao, J., & Capanoglu, E.
Venue
Food Chemistry
Publisher
Elsevier BV
Published
2019-01
Volume
272
Pages
494-506
ISSN
0308-8146 (ISSN-L)
OpenAlex
W2887906518
Cited by
534
References
1
FWCI
42.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review of microencapsulation methods for food antioxidants: Principles, advantages, drawbacks and applications. https://app.cochat.ai/papers/10.1016/j.foodchem.2018.07.205
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Ozkan, G., Franco, P., De Marco, I., Xiao, J., & Capanoglu, E. (2019). A review of microencapsulation methods for food antioxidants: Principles, advantages, drawbacks and applications. Food Chemistry. https://doi.org/10.1016/j.foodchem.2018.07.205

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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.