Modulation of double network assembly via different calcium sources and GDL concentrations for simulating intramuscular fat

通过不同的钙源和GDL浓度调节双网络组装,以模拟肌内脂肪。

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Abstract

Responding to the global demand for low-fat plant-based foods, this study developed soy protein isolate (SPI)-sodium alginate (SA) double-network emulsion gels as fat replacers, using various calcium sources (CaCO(3), CaHPO(4), CaSO(4)) and glucono-δ-lactone (GDL) concentrations. The gelation kinetics, mechanical properties, water distribution, and microstructure of the gels were thoroughly characterized. Results indicated that CaCO(3) and CaHPO(4) facilitated a slower release of Ca(2+), promoting sequential cross-linking that led to homogeneous dual networks stabilized primarily by hydrogen bonds and hydrophobic interactions. These gels showed high water-holding capacity (>90%), tunable elasticity, uniform oil distribution, and improved thermal stability. In contrast, CaSO(4) induced rapid alginate cross-linking, resulting in rigid, heterogeneous networks rich in disulfide bonds, with limited structural recovery. Increased GDL content accelerated gelation but reduced mechanical strength in CaSO(4) gels. The CaHPO(4)-GDL system demonstrated outstanding filling performance, with over 45% efficiency in protein matrix integration and minimal surface defects, highlighting its potential as an effective simulated fat. This work offers a feasible strategy for fabricating texture-tunable, plant-based simulated fat through optimized Ca(2+) and GDL synergy.

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