Synergistic Modulation of Cookie Quality, Sensory Profile, and In Vitro Starch Digestibility by Nannochloropsis Microalgae Incorporation into a Corn Oil-Based Emulsion Gel System

To change the saturated fatty acid composition of traditional cookies and enhance their functionality, corn oil-based emulsion gels were innovatively used as a substitute for butter. The study also investigated the impact of adding powder on the overall quality of cookies. Under optimal conditions comprising a 6:4 oil-to-water ratio, 3% gelatin concentration, and 0.1% grape seed polyphenol concentration, the prepared emulsion gel achieved an oil retention rate of 84.5%. Following the incorporation of the emulsion gel, the sensory score of the composite sample WZ significantly increased. The texture became softer, and a greenish-brown color, more acceptable to consumers, was developed. In vitro digestion analysis further revealed that the combined incorporation of Nannochloropsis gaditana powder and the emulsion gel reduced the RDS content from 59.6% to 54.0%,while increasing RS content to 25.8%, thereby effectively retarding the rate of in vitro starch digestion. This study utilized a corn oil-GSP/gelatin emulsion gel as a butter substitute in combination with microalgae incorporation, thereby achieving concurrent health enhancement and quality improvement of cookie products. The approach provides a feasible technical strategy and theoretical foundation for developing novel baked foods that exhibit favorable sensory properties and controlled starch digestion characteristics.

Authors

Institutions

Publication Details

Journal
Foods
Published
2026-03-27
DOI
https://doi.org/10.3390/foods15071149
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergistic Modulation of Cookie Quality, Sensory Profile, and In Vitro Starch Digestibility by Nannochloropsis Microalgae Incorporation into a Corn Oil-Based Emulsion Gel System

Shouqing Zhang, K. Y. Liu, Jun Sun, Ziguang Huang et al.
Foods
Food composition and properties
article

Synergistic Modulation of Cookie Quality, Sensory Profile, and In Vitro Starch Digestibility by Nannochloropsis Microalgae Incorporation into a Corn Oil-Based Emulsion Gel System

Shouqing Zhang, K. Y. Liu, Jun Sun, Ziguang Huang, Hang Li, Xinyi He, Wenchao Li
article en

Abstract

To change the saturated fatty acid composition of traditional cookies and enhance their functionality, corn oil-based emulsion gels were innovatively used as a substitute for butter. The study also investigated the impact of adding powder on the overall quality of cookies. Under optimal conditions comprising a 6:4 oil-to-water ratio, 3% gelatin concentration, and 0.1% grape seed polyphenol concentration, the prepared emulsion gel achieved an oil retention rate of 84.5%. Following the incorporation of the emulsion gel, the sensory score of the composite sample WZ significantly increased. The texture became softer, and a greenish-brown color, more acceptable to consumers, was developed. In vitro digestion analysis further revealed that the combined incorporation of Nannochloropsis gaditana powder and the emulsion gel reduced the RDS content from 59.6% to 54.0%,while increasing RS content to 25.8%, thereby effectively retarding the rate of in vitro starch digestion. This study utilized a corn oil-GSP/gelatin emulsion gel as a butter substitute in combination with microalgae incorporation, thereby achieving concurrent health enhancement and quality improvement of cookie products. The approach provides a feasible technical strategy and theoretical foundation for developing novel baked foods that exhibit favorable sensory properties and controlled starch digestion characteristics.

FoodsVol. 15(7)
Tianjin Agricultural University (CN), Tianjin University of Science and Technology (CN), China University of Geosciences (Beijing) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Food composition and properties
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.