Nikolaou Evgenia N, Apostolidis Eftychios, Nikolidaki Eirini K, Karvela Evangelia D, Stergiou Athena, Kourtis Thomas, Karathanos Vaios T
Department of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.
Gels. 2025 Jul 23;11(8):574. doi: 10.3390/gels11080574.
This study presents a comprehensive evaluation of starch-based gel formulations enriched with proteins and hydrocolloids for extrusion-based 3D food printing (3DFP). Food inks were prepared using corn or potato starch, protein concentrates (fava, whey, rice, pea and soya), and hydrocolloids (κ-carrageenan, arabic gum, xanthan gum, and carboxy methylcellulose). Their rheological, mechanical, and textural properties were systematically analyzed to assess printability. Among all formulations, those containing κ-carrageenan consistently demonstrated superior viscoelastic behavior (G' > 4000 Pa), optimal tan δ values (0.096-0.169), and yield stress conducive to stable extrusion. These inks also achieved high structural fidelity (93-96% accuracy) and favourable textural attributes such as increased hardness and chewiness. Computational Fluid Dynamics (CFD) simulations further validated the inks' performances by linking pressure and velocity profiles with rheological parameters. FTIR analysis revealed that gel strengthening was primarily driven by non-covalent interactions, such as hydrogen bonding and electrostatic effects. The integration of empirical measurements and simulation provided a robust framework for evaluating and optimizing printable food gels. These findings contribute to the advancement of personalized and functional 3D-printed foods through data-driven formulation design.
本研究对富含蛋白质和水胶体的淀粉基凝胶配方用于基于挤出的3D食品打印(3DFP)进行了全面评估。使用玉米或马铃薯淀粉、浓缩蛋白(蚕豆、乳清、大米、豌豆和大豆)以及水胶体(κ-卡拉胶、阿拉伯胶、黄原胶和羧甲基纤维素)制备食品墨水。系统分析了它们的流变学、力学和质地特性以评估可打印性。在所有配方中,含有κ-卡拉胶的配方始终表现出优异的粘弹性行为(G' > 4000 Pa)、最佳的损耗角正切值(0.096 - 0.169)以及有利于稳定挤出的屈服应力。这些墨水还实现了高结构保真度(93 - 96%的精度)以及诸如硬度和咀嚼性增加等良好的质地属性。计算流体动力学(CFD)模拟通过将压力和速度分布与流变学参数联系起来进一步验证了墨水的性能。傅里叶变换红外光谱(FTIR)分析表明,凝胶强化主要由非共价相互作用驱动,如氢键和静电作用。经验测量和模拟的结合为评估和优化可打印食品凝胶提供了一个强大的框架。这些发现通过数据驱动的配方设计推动了个性化和功能性3D打印食品的发展。