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Controlling the properties of 3D-printed sodium caseinate emulsion gels by tuning starch-induced network architecture
Kangning Zhang1, Fangyuan Tian1, Xiaojing Li2
1College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, Shandong Province 266109, China.
Abstract:
This study explored the impact of varying cassava starch (CS) levels on the rheological and textural attributes and printability of sodium caseinate-cassava starch (NaCas-CS) composite emulsion gels. Increasing the CS content led to higher apparent viscosity and gel hardness, reduced fluidity, and promoted the formation of a tighter network. The composite containing 12% CS exhibited the best printing performance and dimensional accuracy, suggesting that an optimal balance of viscosity, hardness, and flow behavior is essential for successful 3D printing. Furthermore, increasing CS caused a leftward shift in relaxation time, indicating restricted water mobility and enhanced water-binding capacity. Microstructural analysis confirmed that elevated CS contents facilitated the development of a denser network. FT-IR analysis supported that the enhanced emulsion gel properties were driven by strengthened intermolecular interactions between CS and NaCas, including hydrogen bonding and electrostatic forces. These findings guide starch-enhanced 3D printability of protein gels and support starch-protein composites in food applications.

