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September 5, 2025Surfaces13 citationsOpen Access

Designing Emulsion Gels for 3D Food Printing: Structure, Stability, and Functional Applications

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BFBruna Silva de FariasLCL. CunhaACAnelise Christ-Ribeiro

Key Points

  • Emulsion gels significantly improve structural fidelity and functional performance in 3D food printing, making printed foods more appealing.
  • Key properties include rheological and mechanical attributes that enhance extrusion and shape retention in printed products.
  • Formulation strategies such as phase behavior and stabilization methods further optimize print precision and food performance.
  • While advances in techniques like ultrasound aid gel network formation, challenges in scalability and regulatory compliance persist.

Abstract

The integration of emulsion gels in 3D food printing has emerged as a promising strategy to enhance both the structural fidelity and functional performance of printed foods. Emulsion gels, composed of proteins, polysaccharides, lipids, and their complexes, can provide tunable rheological and mechanical properties suitable for extrusion and shape retention. This review explores the formulation strategies, including phase behavior (O/W, W/O, and double emulsions); stabilization methods; and post-printing treatments, such as enzymatic, ionic, and thermal crosslinking. Advanced techniques, including ultrasound and high-pressure homogenization, are highlighted for improving gel network formation and retention of active compounds. Functional applications are addressed, with a focus on meat analogs, bioactive delivery systems, and personalized nutrition. Furthermore, the role of the oil content, interfacial engineering, and protein–polysaccharide interactions in improving print precision and post-processing performance is emphasized. Despite notable advances, challenges remain in scalability, regulatory compliance, and optimization of print parameters. The integration of artificial intelligence can also provide promising advances for smart design, predictive modeling, and automation of the 3D food printing workflow.

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Cite This Study

Farias et al. (2025) studied this question.

synapsesocial.com/papers/68bb5f3e6d6d5674bcd03300https://doi.org/10.3390/surfaces8030064
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