Evidence map›Paper›PMID 41122397›Full record

ArticleRSC advances2025

3D printing of hydrogels: a synergistic approach of rheology and computational fluid dynamics (CFD) modeling.

Siraj Ahmad, Hatif Alam, Prachi Thareja

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Siraj AhmadDepartment of Chemical Engineering, IIT Gandhinagar Palaj Gandhinagar 382355 India prachi@iitgn.ac.in.
Hatif AlamDepartment of Chemical Engineering, IIT Gandhinagar Palaj Gandhinagar 382355 India prachi@iitgn.ac.in.
Prachi TharejaDepartment of Chemical Engineering, IIT Gandhinagar Palaj Gandhinagar 382355 India prachi@iitgn.ac.in.ORCID https://orcid.org/0000-0001-9370-5103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of printable hydrogel inks with optimized rheological properties is critical for advancing extrusion-based 3D printing. In this study, we present a systematic investigation of kappa-carrageenan (κCG) hydrogel inks formulated with and without 10 mM KCl and gold nanoparticles (AuNPs) to assess their printability, flow behavior, and structural performance. All formulations exhibited shear-thinning behavior, characterized using the Power Law model, while stress sweep measurements provided insights into viscoelastic moduli and yield stress. Inks without KCl displayed smooth flow and superior single-layer printability but lacked multi-layer stability, while KCl-crosslinked inks showed enhanced mechanical stability and structural retention in multi-layer constructs. The ink containing both KCl and AuNPs demonstrated the best results in multi-layer printing, combining the mechanical stability imparted by KCl with enhanced shear-thinning behavior from AuNPs. CFD simulations using ANSYS fluent were employed to estimate extrusion pressures and visualize shear rate distributions within the syringe-nozzle geometry. Using CFD results, the thixotropic protocol was modified to reflect actual shear conditions during printing. Inks without KCl showed high viscosity recovery, while those with KCl exhibited lower values, likely due to sample slippage at high shear. Despite this, KCl-containing inks showed excellent multi-layer printability, indicating effective structural recovery. Complementary FTIR, XRD, thermal, and FESEM analyses validated structural and morphological features of inks. This integrated experimental-CFD framework offers a predictive approach to understand hydrogel ink behavior, highlighting the interplay between formulation, flow properties, and print performance. The findings provide a foundation for next-generation bioinks for tissue engineering and soft material applications.

Identifiers

PMID41122397
PMCPMC12536296

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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.