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Formation of quadruplex composite network during boiling delayed noodles digestion
Peng Lin1, Rongrong Ma1, Yaoqi Tian2
1State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Food Chemistry
|April 10, 2025
Summary
Researchers developed low-glycemic noodles by creating a novel quadruplex network. This network uses wheat starch, gluten protein, oleic acid, and xanthan gum for improved texture and sensory qualities.
Area of Science:
- Food Science
- Materials Science
- Biochemistry
Background:
- Noodle texture and glycemic index are influenced by complex molecular interactions.
- Existing noodle formulations often lack optimal structural integrity and health benefits.
Purpose of the Study:
- To investigate the self-assembly of a quadruplex composite network in noodles during boiling.
- To develop a low-glycemic-index (GI) noodle using wheat starch, gluten protein, oleic acid, and xanthan gum.
Main Methods:
- Studied the interaction between oleic acid, amylose, gluten protein, and xanthan gum.
- Formulated recombinant wheat noodles incorporating these four components.
- Assessed sensory qualities and predicted glycemic index (pGI) of the developed noodles.
Main Results:
- Oleic acid's hydrophobic chain formed a helical inclusion complex with amylose via hydrogen bonding.
- Gluten protein's charged residues bridged the hydrophilic end of the complex with negatively charged xanthan gum.
- The resulting quadruplex network in recombinant noodles yielded excellent sensory attributes and a pGI of 52.6.
Conclusions:
- A novel quadruplex composite network can be formed in noodles during boiling.
- This network structure significantly improves noodle quality and contributes to a low predicted glycemic index.
- The findings offer a new approach for producing healthier, high-quality noodles.
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