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Cited by 264

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Food-Grade Pickering Emulsions: Preparation, Stabilization and Applications

Open access
Chen, Lijuan, Ao, Fen, Ge, Xuemei, Shen, Wen·2020·Molecules

Abstract

In recent years, Pickering emulsions have emerged as a new method and have attracted much attention in the fields of food sciences. Unlike conventional emulsions, Pickering emulsions are stabilized by solid particles, which can irreversibly adsorb on the oil-water interface to form a dense film to prevent the aggregation of droplets. The research and development of food-grade solid particles are increasingly favored by scientific researchers. Compared with conventional emulsions, Pickering emulsions have many advantages, such as fewer using amounts of emulsifiers, biocompatibility and higher safety, which may offer feasibility to have broad application prospects in a wide range of fields. In this article, we review the preparation methods, stabilization mechanism, degradation of Pickering emulsions. We also summarize its applications in food sciences in recent years and discuss its future prospects and challenges in this work.

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Crossref · 10.3390/molecules25143202

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Metadata

Authors
Chen, L., Ao, F., Ge, X., & Shen, W.
Venue
Molecules
Publisher
MDPI AG
Published
2020-07-14
Volume
25
Issue
14
Pages
3202
ISSN
1420-3049 (ISSN-L)
OpenAlex
W3043406509
Cited by
264
References
89
FWCI
9.79
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Food-Grade Pickering Emulsions: Preparation, Stabilization and Applications. https://app.cochat.ai/papers/10.3390/molecules25143202
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Chen, L., Ao, F., Ge, X., & Shen, W. (2020). Food-Grade Pickering Emulsions: Preparation, Stabilization and Applications. Molecules. https://doi.org/10.3390/molecules25143202

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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.