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Characterization of Sugar Reduction in Model Confectionary Gels Using Descriptive Analysis.
Elle McKenzie1, Youngsoo Lee1, Soo-Yeun Lee1
1Department of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, 905 South Goodwin Ave., 486A Bevier Hall, Urbana, IL 61801, USA.
Understanding sugar reduction in food requires analyzing sensory and functional properties. Descriptive analysis of gels revealed gelling agent type significantly impacts texture, with konjac glucomannan consistently chewy.
Area of Science:
- Food Science
- Sensory Science
- Material Science
Background:
- Successful sugar reduction in food products necessitates mimicking sensory and functional properties of full-sugar counterparts.
- Determining how sugar absence impacts these properties is crucial for effective reformulation.
Purpose of the Study:
- To create a sensory profile of model confectionary gels with varying sugar concentrations.
- To compare sensory data with instrumental texture profile analysis data.
- To investigate the relationship between sensory attributes and instrumental measurements.
Main Methods:
- Descriptive sensory analysis of four gelling agents (gelatin, ι-carrageenan, κ-carrageenan, konjac glucomannan) at 0-20% sugar concentrations.
- Analysis of variance (ANOVA) and principal component analysis (PCA) for sensory data.
- Correlation, cluster, and partial least squares regression (PLS-R) for sensory-instrumental data comparison.
Main Results:
- Sensory analysis primarily clustered samples by gelling agent type, irrespective of sugar concentration.
- Konjac glucomannan was consistently characterized as chewy.
- Cohesion and gumminess correlated with melt-in-mouth and jiggly textures; adhesion and fracturability showed negative correlations.
Conclusions:
- Descriptive analysis offers a discriminating method for characterizing model confectionary gels.
- Gelling agent type is a primary determinant of sensory properties in reduced-sugar gels.
- Specific sensory attributes can be linked to instrumental texture measurements through advanced statistical analysis.
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