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March 6, 2026LWT1 citationsOpen Access

Material and structural determinants of 3D-printed plant protein foods for dysphagia applications

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SMSuwen MaHSHui Sun

Key Points

  • This review aims to explore the role of 3D printing and plant-based proteins in creating safe and acceptable foods for dysphagia management.
  • Proposed a multiscale design framework for plant protein foods.
  • Evaluated protein modification strategies for improved nutrition and safety.
  • Analyzed the link between molecular structures, rheology, and printability.
  • Critically assessed the IDDSI framework and its limitations.
  • Introduced objective metrics like Quality Loss Rate (QLR) for texture evaluation.
  • Identified optimal plant protein inks for effective extrusion in 3D food printing.
  • Demonstrated that rheological and microstructural design directly influence print quality.
  • Established links between material properties and swallowing safety in dysphagia management.
  • Showed that 3D printing can standardize food structure evaluation for better outcomes.
  • Proposed a data-driven framework for personalized nutrition design.

Abstract

Texture-modified foods for dysphagia management require precise control over rheology and texture to ensure safety and acceptability. This review proposes a comprehensive multiscale design framework that integrates plant-based proteins with extrusion-based three-dimensional (3D) printing to enable rational formulation and structural control. Protein sources and modification strategies that enhance nutrition and safety simultaneously determine techno-functional performance and printability through molecular-level structural alterations. The core analysis elucidates the mechanistic linkage between tailored intermolecular interactions, engineered microstructures, and the rheological signatures required for extrusion fidelity and post-deposition shape stability. We further critically evaluate the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, identifying its subjective limitations and proposing 3D printing as a quantitative engineering platform to bridge the gap between empirical classification and predictive material design. Finally, we present objective metrics, exemplified by the Quality Loss Rate ( QLR ), demonstrating a step toward translating qualitative texture descriptors into measurable, model-driven safety indicators. • Plant-based protein inks are engineered for extrusion-based 3D food printing • Rheological and microstructural design governs printability and textural fidelity • Quantitative metrics link material properties to dysphagia swallowing safety • 3D printing enables standardized structure–function evaluation of soft foods • A data-driven framework supports personalized and intelligent nutrition design

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Cite This Study

Ma et al. (2026) studied this question.

synapsesocial.com/papers/69aa70e7531e4c4a9ff5b212https://doi.org/10.1016/j.lwt.2026.119224
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