Evidence map›Paper›PMID 38243918›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2024

Multi-Material Volumetric Additive Manufacturing of Hydrogels using Gelatin as a Sacrificial Network and 3D Suspension Bath.

Morgan B Riffe, Matthew D Davidson, Gabriel Seymour, Abhishek P Dhand, Megan E Cooke, Hannah M Zlotnick, Robert R McLeod, Jason A Burdick

Open access · greenAbstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Suspended Tissue Open Microfluidic Patterning (STOMP).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Suspended Tissue Open Microfluidic Patterning (STOMP).bioRxiv : the preprint server for biology · 2025
    Article
  14. Review
  15. Article
  16. Lithography-based 3D printing of hydrogels.Nature reviews bioengineering · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Morgan B RiffeMaterial Science and Engineering Program, College of Engineering and Applied Science, University of Colorado Boulder, Boulder, CO, 80303, USA.
Matthew D DavidsonBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Gabriel SeymourDepartment of Electrical, Computer, and Energy Engineering, College of Engineering and Applied Science, University of Colorado Boulder, Boulder, CO, 80303, USA.
Abhishek P DhandDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Megan E CookeBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Hannah M ZlotnickBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Robert R McLeodMaterial Science and Engineering Program, College of Engineering and Applied Science, University of Colorado Boulder, Boulder, CO, 80303, USA.
Jason A BurdickMaterial Science and Engineering Program, College of Engineering and Applied Science, University of Colorado Boulder, Boulder, CO, 80303, USA.ORCID https://orcid.org/0000-0002-2006-332X
University of Colorado Boulder · USUniversity of Pennsylvania · US

Funding

Engineered Granular Hydrogels for Endogenous Tissue RepairR01HL160616 · NHLBI · UNIVERSITY OF COLORADO · PI BURDICK, JASON A · 2022 to 2025
$2.5M
Engineered Developmental Microenvironments: Cartilage Formation and MaturationR01AR077362 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI BURDICK, JASON A, MAUCK, ROBERT L · 2020 to 2024
$2.5M
National Science Foundation CMMI: 15-48571NHLBI NIH HHS R01 HL160616NIAMS NIH HHS R01 AR077362NIH HHS R01AR077362NIH HHS R01HL160616Rhodes Trust and Schmidt Futures SchmidtScienceFellowship
6 · The paper itself

Abstract

Volumetric additive manufacturing (VAM) is an emerging layerless method for the rapid processing of reactive resins into 3D structures, where printing is much faster (seconds) than other lithography and direct ink writing methods (minutes to hours). As a vial of resin rotates in the VAM process, patterned light exposure defines a 3D object and then resin that has not undergone gelation can be washed away. Despite the promise of VAM, there are challenges with the printing of soft hydrogel materials from non-viscous precursors, including multi-material constructs. To address this, sacrificial gelatin is used to modulate resin viscosity to support the cytocompatible VAM printing of macromers based on poly(ethylene glycol) (PEG), hyaluronic acid (HA), and polyacrylamide (PA). After printing, gelatin is removed by washing at an elevated temperature. To print multi-material constructs, the gelatin-containing resin is used as a shear-yielding suspension bath (including HA to further modulate bath properties) where ink can be extruded into the bath to define a multi-material resin that can then be processed with VAM into a defined object. Multi-material constructs of methacrylated HA (MeHA) and gelatin methacrylamide (GelMA) are printed (as proof-of-concept) with encapsulated mesenchymal stromal cells (MSCs), where the local hydrogel properties guide cell spreading behavior with culture.

Indexed as

hydrogelssuspension bath printingtissue engineeringvolumetric additive manufacturing

Identifiers

PMID38243918
PMCPMC11259577
OpenAlexW4391045014

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.