Customizing fracture properties of pea-based snacks using 3D printing by varying composition and processing parameters

Customized textures can be achieved using extrusion-based 3D food printing by varying composition and processing parameters, e.g., printing designs and post-processing conditions. This study aims to design textural properties of customized pea-based snacks by investigating the effects of composition and multiple processing parameters on fracture behavior. Macronutrient composition of printing materials (i.e. starch-to-protein ratio), geometric design, and post-processing conditions (i.e. steaming or baking time) were systematically varied. The fracture behavior of freshly printed and post processed structures were analyzed. Samples showed elastic deformation and plastic deformation after steaming and baking, respectively. This difference in fracture behavior could be linked to microstructural changes indicated by confocal laser scanning microscopic imaging. Starch-to-protein ratio of the printing material and the geometric design also influenced the fracture behavior, but to a relatively minor extent. Moreover, fracture stress and Young's modulus were strongly influenced by the dry matter content of the samples. Statistical analysis using ANOVA was performed to establish the significance of the effect of composition and processing parameters on Young's modulus and dry matter content of samples. Based on this understanding, we propose different strategies to effectively design textural properties of snacks using 3D printing. By considering multiple factors, this study provides valuable insights into designing healthy snacks with customized textures using 3D food printing.

Authors

Institutions

Publication Details

Journal
Food Research International
Published
2025-01-10
DOI
https://doi.org/10.1016/j.foodres.2025.115715
Citations
5
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
5.60

Funders

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

Customizing fracture properties of pea-based snacks using 3D printing by varying composition and processing parameters

Aaditya Venkatachalam, Bei Tian, Maarten A.I. Schutyser, Patrick Wilms et al.
5 citations
Food Research International
Food composition and properties
5.60
article

Customizing fracture properties of pea-based snacks using 3D printing by varying composition and processing parameters

Aaditya Venkatachalam, Bei Tian, Maarten A.I. Schutyser, Patrick Wilms, Lu Zhang, Evert‐Jan Bakker
article en
5 citations

Abstract

Customized textures can be achieved using extrusion-based 3D food printing by varying composition and processing parameters, e.g., printing designs and post-processing conditions. This study aims to design textural properties of customized pea-based snacks by investigating the effects of composition and multiple processing parameters on fracture behavior. Macronutrient composition of printing materials (i.e. starch-to-protein ratio), geometric design, and post-processing conditions (i.e. steaming or baking time) were systematically varied. The fracture behavior of freshly printed and post processed structures were analyzed. Samples showed elastic deformation and plastic deformation after steaming and baking, respectively. This difference in fracture behavior could be linked to microstructural changes indicated by confocal laser scanning microscopic imaging. Starch-to-protein ratio of the printing material and the geometric design also influenced the fracture behavior, but to a relatively minor extent. Moreover, fracture stress and Young's modulus were strongly influenced by the dry matter content of the samples. Statistical analysis using ANOVA was performed to establish the significance of the effect of composition and processing parameters on Young's modulus and dry matter content of samples. Based on this understanding, we propose different strategies to effectively design textural properties of snacks using 3D printing. By considering multiple factors, this study provides valuable insights into designing healthy snacks with customized textures using 3D food printing.

Food Research InternationalVol. 202
Wageningen University & Research (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Zero hunger
Openalex Percentile: Top 5%
Food composition and properties
5.60
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.