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Cited by 197

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Edible oleogels in food products to help maximize health benefits and improve nutritional profiles

Stortz, Terri A., Zetzl, Alexander K., Barbut, Shai, Cattaruzza, Andrea, Marangoni, Alejandro G.·2012·Lipid Technology

Abstract

Organogelators such as 12‐hydroxystearic acid and ethylcellulose have been shown to structure vegetable oils at levels below 8%. The resultant gels retain the fatty acid profile of the vegetable oil, yet provide solid‐like properties that can successfully replace saturated fats in a variety of food products including cookies, creams, and frankfurters and sausages. Furthermore, organogel technology can be used for the controlled or delayed release of nutraceuticals and pharmaceuticals. With the development of food grade organogelators, this will allow for the use of oleogels in a large variety of food and pharmaceutical applications.

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Crossref · 10.1002/lite.201200205

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Metadata

Authors
Stortz, T. A., Zetzl, A. K., Barbut, S., Cattaruzza, A., & Marangoni, A. G.
Venue
Lipid Technology
Publisher
Wiley
Published
2012-07
Volume
24
Issue
7
Pages
151-154
ISSN
  • 0956-666X (ISSN-L)
  • 1863-5377
OpenAlex
W2053823881
Cited by
197
References
2
FWCI
11.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Edible oleogels in food products to help maximize health benefits and improve nutritional profiles. https://app.cochat.ai/papers/10.1002/lite.201200205
The paper
Stortz, T. A., Zetzl, A. K., Barbut, S., Cattaruzza, A., & Marangoni, A. G. (2012). Edible oleogels in food products to help maximize health benefits and improve nutritional profiles. Lipid Technology. https://doi.org/10.1002/lite.201200205

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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.