Evidence map›Paper›PMID 40868705›Full record

ArticleGels (Basel, Switzerland)2025

The Development and Optimization of Extrusion-Based 3D Food Printing Inks Using Composite Starch Gels Enriched with Various Proteins and Hydrocolloids.

Evgenia N Nikolaou, Eftychios Apostolidis, Eirini K Nikolidaki, Evangelia D Karvela, Athena Stergiou, Thomas Kourtis, Vaios T Karathanos

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
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  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Evgenia N NikolaouDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.ORCID 0000-0001-6664-1124
Eftychios ApostolidisDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.ORCID 0000-0002-3040-276X
Eirini K NikolidakiDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.
Evangelia D KarvelaDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.ORCID 0000-0003-0435-8862
Athena StergiouDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.ORCID 0000-0001-9560-1682
Thomas KourtisDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.
Vaios T KarathanosDepartment of Science of Dietetics-Nutrition, Harokopion University, 70, El. Venizelou, Kallithea, 17671 Athens, Greece.ORCID 0000-0002-5079-1010

Funding

2nd Call for H.F.R.I. Research Projects to support Faculty Members & Researchers 3419
6 · The paper itself

Abstract

This study presents a comprehensive evaluation of starch-based gel formulations enriched with proteins and hydrocolloids for extrusion-based 3D food printing (3DFP). Food inks were prepared using corn or potato starch, protein concentrates (fava, whey, rice, pea and soya), and hydrocolloids (κ-carrageenan, arabic gum, xanthan gum, and carboxy methylcellulose). Their rheological, mechanical, and textural properties were systematically analyzed to assess printability. Among all formulations, those containing κ-carrageenan consistently demonstrated superior viscoelastic behavior (G' > 4000 Pa), optimal tan δ values (0.096-0.169), and yield stress conducive to stable extrusion. These inks also achieved high structural fidelity (93-96% accuracy) and favourable textural attributes such as increased hardness and chewiness. Computational Fluid Dynamics (CFD) simulations further validated the inks' performances by linking pressure and velocity profiles with rheological parameters. FTIR analysis revealed that gel strengthening was primarily driven by non-covalent interactions, such as hydrogen bonding and electrostatic effects. The integration of empirical measurements and simulation provided a robust framework for evaluating and optimizing printable food gels. These findings contribute to the advancement of personalized and functional 3D-printed foods through data-driven formulation design.

Indexed as

3D food printingcomposite starch gelscomputational fluid dynamicsprintability

Identifiers

PMID40868705
PMCPMC12385182

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.