Issue |
E3S Web Conf.
Volume 610, 2025
2024 Research, Invention, and Innovation Congress (RI2C 2024)
|
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Article Number | 02002 | |
Number of page(s) | 8 | |
Section | Food Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202561002002 | |
Published online | 23 January 2025 |
Pasting profiles and gel properties of rice flour blended with native, cross-linked, and acetylated tapioca starch
1 Department of Agro-Industrial, Food, and Environmental Technology, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat Road, Bangsue, Bangkok 10800, Thailand
2 Food and Agro-Industrial Research Center, King Mongkut’s University of Technology North Bangkok, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand
3 Division of Biochemical Technology, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi, Bangkhuntien, Bangkok 10150, Thailand
4 Food Science and Human Nutrition Department, Iowa State University, Ames, IA 50011-1054, USA
* Corresponding author: vilai.r@sci.kmutnb.ac.th
The pasting properties of rice starch can be improved by blending it with native or modified starch. This research investigated the pasting profiles and gel properties of rice flour (RF) blended at different concentrations with tapioca starch (TS), lowand highdegrees of crosslinked starch (LCL and HCL), and lowand highdegrees of substitution of acetylated starch (LAC and HAC). The results showed that substituting RF with both native and modified starches tended to decrease the pasting temperature of the flour blends. The increase in HCL in flour blends resulted in a higher pasting temperature, final viscosity, and setback. At the same time, adding LAC and HAC did not affect the pasting temperature, but a significantly decreased final viscosity was observed. RF-HCL10 and RF-HAC10 exhibited significantly higher swelling power than RF alone. Blending RF with HCL at 5, and 10% by weight could improve the freeze-thaw stability of the gels made from each blend. The information obtained herein is useful for the prediction of product properties that are rich in starch.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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