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Dynamic Study on Water State and Water Migration during Gluten-Starch Model Dough Development under Different Gluten
Haoxuan Ye1,2, Yingquan Zhang1,3, Lei Wang1
1Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Comprehensive Utilization Laboratory of Cereal and Oil Processing, Ministry of Agriculture and Rural, Beijing 100193, China.
Gluten protein content significantly impacts dough quality by influencing water migration. Higher gluten increases water absorption and dough strength, but extreme levels can damage the gluten network, affecting water binding and dough development.
Area of Science:
- Food Science
- Material Science
Background:
- Dough quality is intrinsically linked to mixing processes.
- Gluten protein content is a key determinant of dough properties and water behavior.
- Understanding water migration during dough development is essential for optimizing food processing.
Purpose of the Study:
- To investigate the influence of varying gluten protein contents (GPC) on dough farinograph parameters.
- To analyze water migration dynamics within dough models with different GPCs.
- To establish a theoretical foundation for dough processing optimization.
Main Methods:
- Preparation of compound flour with controlled gluten protein contents (10-26%, w/w).
- Dough farinograph testing to assess water absorption and dough strength.
- Low-field nuclear magnetic resonance (LF-NMR) to quantify water migration.
- Microstructure analysis to evaluate gluten network integrity.
Main Results:
- Increased GPC enhanced water absorption and dough strength.
- Higher GPC promoted the binding of strongly bound water and the transformation of weakly bound water.
- Extreme GPC levels (10% and 26%) led to free water release due to gluten network damage.
- Changes in protein secondary structures correlated with weakly bound water migration.
Conclusions:
- Weakly bound water plays a critical role in dough development.
- Gluten protein content significantly modulates water migration and dough properties.
- These findings offer a theoretical basis for optimizing dough processing through GPC control.
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