Evidence map›Paper›PMID 32541054›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

On-demand modulation of 3D-printed elastomers using programmable droplet inclusions.

Hing Jii Mea, Luis Delgadillo, Jiandi Wan

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Ultrahigh efficient emulsification with drag-reducing liquid gating interfacial behavior.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. On-demand modulation of 3D-printed elastomers using programmable droplet inclusions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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 at 2 institutions in 1 country.

Hing Jii MeaDepartment of Chemical Engineering, University of California, Davis, CA 95616.
Luis DelgadilloDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627.
Jiandi WanDepartment of Chemical Engineering, University of California, Davis, CA 95616; jdwan@ucdavis.edu.
University of California, Davis · USUniversity of Rochester · US

Funding

Neutrophil-endothelial interactions and barrier function in sepsisR01HL125265 · NHLBI · UNIVERSITY OF ROCHESTER · PI KIM, MINSOO, REICHNER, JONATHAN S · 2014 to 2018
$3.9M
NHLBI NIH HHS R01 HL125265
6 · The paper itself

Abstract

One of the key thrusts in three-dimensional (3D) printing and direct writing is to seamlessly vary composition and functional properties in printed constructs. Most inks used for extrusion-based printing, however, are compositionally static and available approaches for dynamic tuning of ink composition remain few. Here, we present an approach to modulate extruded inks at the point of print, using droplet inclusions. Using a glass capillary microfluidic device as the printhead, we dispersed droplets in a polydimethylsiloxane (PDMS) continuous phase and subsequently 3D printed the resulting emulsion into a variety of structures. The mechanical characteristics of the 3D-printed constructs can be tuned in situ by varying the spatial distribution of droplets, including aqueous and liquid metal droplets. In particular, we report the use of poly(ethylene glycol) diacrylate (PEGDA) aqueous droplets for local PDMS chemistry alteration resulting in significant softening (85% reduced elastic modulus) of the 3D-printed constructs. Furthermore, we imparted magnetic functionality in PDMS by dispersing ferrofluid droplets and rationally designed and printed a rudimentary magnetically responsive soft robotic actuator as a functional demonstration of our droplet-based strategy. Our approach represents a continuing trend of adapting microfluidic technology and principles for developing the next generation of additive manufacturing technology.

Indexed as

3D printingemulsionsmicrofluidicPDMSsoft robotics

Identifiers

PMID32541054
PMCPMC7334512
OpenAlexW3035330855

What OpenQuestion holds

Textmetadata
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.