Oleogels Based on Starch and Natural Extracts from Cassava (Manihot esculenta) as a Fat Replacement in Cookies

Oleogels, a semi-solid fat-like material, have emerged as a promising alternative to traditional saturated fats in food products. This study aimed to develop and characterize novel oleogels using starch and extracts from cassava (Manihot esculenta) to be used as a fat replacement in cookies, addressing the growing demand for healthier baked goods. Cassava starch was used as the structuring agent, while extracts provided functional properties to the oleogels. The oleogels were prepared and then incorporated into a cookie formulation, fully replacing the conventional fat. The resulting cookies were analyzed for their physicochemical properties, including texture, moisture content, and color. Rheological and microscopy analyses were also subjected to a sensory evaluation panel. The results demonstrated that the cassava-based oleogels effectively mimicked the functional role of fat, producing cookies with a significantly lower fat content. The cookies made with the oleogels exhibited comparable textural attributes and sensory acceptance to the full-fat control group, with no significant differences in flavor or mouthfeel reported by the panelists. These findings suggest that oleogels derived from cassava are a highly effective and innovative solution for producing healthier cookies without compromising quality, representing a viable strategy for fat reduction in the food industry.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-10-29
DOI
https://doi.org/10.3390/app152111545
Citations
1
Primary Topic
Food Chemistry and Fat Analysis
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oleogels Based on Starch and Natural Extracts from Cassava (Manihot esculenta) as a Fat Replacement in Cookies

Somaris E. Quintana, Luis A. García‐Zapateiro, Valeria M. Meza-Castellón
1 citations
Applied Sciences
Food Chemistry and Fat Analysis
1.16
article

Oleogels Based on Starch and Natural Extracts from Cassava (Manihot esculenta) as a Fat Replacement in Cookies

Somaris E. Quintana, Luis A. García‐Zapateiro, Valeria M. Meza-Castellón
article en
1 citations

Abstract

Oleogels, a semi-solid fat-like material, have emerged as a promising alternative to traditional saturated fats in food products. This study aimed to develop and characterize novel oleogels using starch and extracts from cassava (Manihot esculenta) to be used as a fat replacement in cookies, addressing the growing demand for healthier baked goods. Cassava starch was used as the structuring agent, while extracts provided functional properties to the oleogels. The oleogels were prepared and then incorporated into a cookie formulation, fully replacing the conventional fat. The resulting cookies were analyzed for their physicochemical properties, including texture, moisture content, and color. Rheological and microscopy analyses were also subjected to a sensory evaluation panel. The results demonstrated that the cassava-based oleogels effectively mimicked the functional role of fat, producing cookies with a significantly lower fat content. The cookies made with the oleogels exhibited comparable textural attributes and sensory acceptance to the full-fat control group, with no significant differences in flavor or mouthfeel reported by the panelists. These findings suggest that oleogels derived from cassava are a highly effective and innovative solution for producing healthier cookies without compromising quality, representing a viable strategy for fat reduction in the food industry.

Applied SciencesVol. 15(21)
University of Cartagena (CO)
Openalex Percentile: Top 17%
Food Chemistry and Fat Analysis
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.