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Unlocking the performance of wet and dry-fractionated pea proteins in 3D food printing
Department of Life Sciences-Food and Nutrition Science, Chalmers University of Technology, Kemigården 4, Gothenburg.
RISE Research Institutes of Sweden, Bioeconomy and Health, Food Research and Innovation.ORCID iD: 0000-0002-3356-0894
Department of Life Sciences-Food and Nutrition Science, Chalmers University of Technology, Kemigården 4, Gothenburg.
2026 (English)In: Future Foods, E-ISSN 2666-8335, Vol. 14Article in journal (Refereed) Published
Abstract [en]

This study investigated how fractionation method (dry fractionated (PPC) vs. wet fractionated (PPI)) affects pea protein 3D printability and rheological behavior at 10–50 wt.%. The potential of preheating and hydrocolloid addition (carrageenan, pectin, and xanthan gum) in enhancing their 3D printability, texture and microstructure was also evaluated. PPI alone showed good printability at 30 wt.%, while PPC remained unprintable even at 50 wt.% due to fiber-induced network disruption and low viscosity. However, PPC’s printability was restored at 40 wt.% through preheating and hydrocolloid addition. PPC and PPI responded very differently to hydrocolloids: pectin improved 3D printing resolution for PPI but weakened post-steaming texture, while in PPC, only pectin provided printability without adversely affecting texture. Overall, PPI demonstrated inherent 3D printability while PPC required modification to achieve comparable performance. Hydrocolloid functionality was protein-type specific, and successful 3D printing of pea protein requires tailored formulation strategies depending on the fractionation method

Place, publisher, year, edition, pages
Elsevier BV , 2026. Vol. 14
Keywords [en]
3D food printing, Hydrocolloids, Pea protein, Plant-based protein, Protein fractionation method
National Category
Polymer Technologies
Identifiers
URN: urn:nbn:se:ri:diva-82244DOI: 10.1016/j.fufo.2026.101128Scopus ID: 2-s2.0-105044770174OAI: oai:DiVA.org:ri-82244DiVA, id: diva2:2089848
Note

Funding text: We would like to acknowledge FORMAS for funding this work within the 3DMix project (grant number: 2021-02349). We would like to thank Lantm\u00E4nnen for the contribution of their sample. We gratefully acknowledge Elahe Sharifi, Marc Weitbrecht, and Jos\u00E9 Villac\u00EDs-Chiriboga for their support during analysis. | Funding details: Elahe Sharifi; José Villacís-Chiriboga; Svenska Forskningsrådet Formas, (2021-02349)

Available from: 2026-08-05 Created: 2026-08-05 Last updated: 2026-08-05Bibliographically approved

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Krona, Annika

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