From Rheology to Reality: A Decade of Protein-Based 3D Food Printing Research

Protein-based food 3D printing has emerged as a key technology for developing sustainable, personalized, and functional products. This review critically analyzes the scientific evolution of the field between 2014 and 2025 through a bibliometric and functional analysis of 590 articles indexed in Web of Science. Data science tools (keyword co-occurrence, thematic maps, and multiple correspondence analysis) were applied to identify trends, emerging themes, and conceptual relationships. The analysis revealed two main lines: one focused on complex emulsions and the other on vegetable formulations optimized with hydrocolloids. The rheological properties and the type of protein isolate prove to be fundamental axes in the formulation of food inks. It was identified that the type of ingredient (hydrocolloids, lipids, enzymes) and their interaction with proteins directly influence the viscosity, elasticity, extrudability, and shape retention capacity of the inks. Additionally, post-processing methods (baking, microwaving, and enzyme treatment) have a significant impact on the texture, stability, and overall acceptance of the final product. From experimental and literature data, unsupervised classification models (K-means, GMM, hierarchical clustering) based on rheological variables (G′, G″, tan δ) were developed, which allowed the identification of three groups of inks with differential behavior, associated with printing parameters such as nozzle diameter, speed, and filling percentage. Visualization by PCA showed how these properties impact extrusion and structural fidelity. These findings underscore the importance of an integrated understanding of formulation, rheology, printing conditions, and post-processing to optimize the quality and functionality of printed foods, representing a key step towards their industrial implementation.

Authors

Institutions

Publication Details

Journal
Food Engineering Reviews
Published
2026-04-06
DOI
https://doi.org/10.1007/s12393-026-09435-y
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Rheology to Reality: A Decade of Protein-Based 3D Food Printing Research

Javíer Martinez-Monzó, Adrián Matas, Marta Florez Igual, Carmen Molina-Montero et al.
Food Engineering Reviews
Additive Manufacturing and 3D Printing Technologies
article

From Rheology to Reality: A Decade of Protein-Based 3D Food Printing Research

Javíer Martinez-Monzó, Adrián Matas, Marta Florez Igual, Carmen Molina-Montero, Purificación García-Segovia, Yeison-Fernando Barrios-Rodríguez
article en

Abstract

Protein-based food 3D printing has emerged as a key technology for developing sustainable, personalized, and functional products. This review critically analyzes the scientific evolution of the field between 2014 and 2025 through a bibliometric and functional analysis of 590 articles indexed in Web of Science. Data science tools (keyword co-occurrence, thematic maps, and multiple correspondence analysis) were applied to identify trends, emerging themes, and conceptual relationships. The analysis revealed two main lines: one focused on complex emulsions and the other on vegetable formulations optimized with hydrocolloids. The rheological properties and the type of protein isolate prove to be fundamental axes in the formulation of food inks. It was identified that the type of ingredient (hydrocolloids, lipids, enzymes) and their interaction with proteins directly influence the viscosity, elasticity, extrudability, and shape retention capacity of the inks. Additionally, post-processing methods (baking, microwaving, and enzyme treatment) have a significant impact on the texture, stability, and overall acceptance of the final product. From experimental and literature data, unsupervised classification models (K-means, GMM, hierarchical clustering) based on rheological variables (G′, G″, tan δ) were developed, which allowed the identification of three groups of inks with differential behavior, associated with printing parameters such as nozzle diameter, speed, and filling percentage. Visualization by PCA showed how these properties impact extrusion and structural fidelity. These findings underscore the importance of an integrated understanding of formulation, rheology, printing conditions, and post-processing to optimize the quality and functionality of printed foods, representing a key step towards their industrial implementation.

Food Engineering ReviewsVol. 18(2)
Universitat Politècnica de València (ES)
Universitat Politècnica de València
Openalex Percentile: Top 24%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.