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Prediction Models for Textural Properties of Puffed Rice Starch Product by Relative Crystallinity
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AbstractThis research aimed to determine the textural attributes of fried puffed rice starch products by the relative crystallinity (RC) of pellets (RCp). Three factors, amylose content (AC), aging time and cooling rate were varied to obtain various levels of RCp. The different textural characteristics of the puffed rice products were evaluated by instrumental and descriptive sensory analysis. The higher AC and longer aging time resulted in higher RCp. Pellets with higher RCp had smaller and denser air cell structures and lower expansion, resulting in higher crispness, hardness and fracturability. High correlation between the RCp and the instrumental and the sensory texture characteristics were determined and regression models (with R2 > 0.80) were established. These models can be used to predict some properties of puffed products, such as crispness, hardness, and brittleness. Panelists rated samples with an AC of 9% (in a range of 2.8–3.7% RCp) highest in appearance and texture scores.Practical ApplicationsThe RCp and textural properties of puffed products can be affected by many factors including ingredients and process parameters. This study provides a better understanding of both the textural characteristics of puffed rice starch products using sensory and instrumental approaches, but also their correlations. The relationship between the RCp and sensory evaluation data can be applied for the prediction of puffing quality.
Title: Prediction Models for Textural Properties of Puffed Rice Starch Product by Relative Crystallinity
Description:
AbstractThis research aimed to determine the textural attributes of fried puffed rice starch products by the relative crystallinity (RC) of pellets (RCp).
Three factors, amylose content (AC), aging time and cooling rate were varied to obtain various levels of RCp.
The different textural characteristics of the puffed rice products were evaluated by instrumental and descriptive sensory analysis.
The higher AC and longer aging time resulted in higher RCp.
Pellets with higher RCp had smaller and denser air cell structures and lower expansion, resulting in higher crispness, hardness and fracturability.
High correlation between the RCp and the instrumental and the sensory texture characteristics were determined and regression models (with R2 > 0.
80) were established.
These models can be used to predict some properties of puffed products, such as crispness, hardness, and brittleness.
Panelists rated samples with an AC of 9% (in a range of 2.
8–3.
7% RCp) highest in appearance and texture scores.
Practical ApplicationsThe RCp and textural properties of puffed products can be affected by many factors including ingredients and process parameters.
This study provides a better understanding of both the textural characteristics of puffed rice starch products using sensory and instrumental approaches, but also their correlations.
The relationship between the RCp and sensory evaluation data can be applied for the prediction of puffing quality.
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