Evidence map›Paper›PMID 29386555›Full record

ArticleScientific reports2018

Micro 3D Printing of a Temperature-Responsive Hydrogel Using Projection Micro-Stereolithography.

Daehoon Han, Zhaocheng Lu, Shawn A Chester, Howon Lee

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Review
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  5. Stimuli-responsive hybrid materials for 4DMaterials today. Bio · 2025
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  18. Voxel Design of Grayscale DLP 3D-Printed Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  19. Review
  20. Review

3 more citing papers are in PubMed but not listed here.

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

4 authors.

Daehoon HanDepartment of Mechanical and Aerospace Engineering, Rutgers University, New Brunswick, NJ, 08901, USA.
Zhaocheng LuDepartment of Mechanical and Aerospace Engineering, Rutgers University, New Brunswick, NJ, 08901, USA.
Shawn A ChesterDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
Howon LeeDepartment of Mechanical and Aerospace Engineering, Rutgers University, New Brunswick, NJ, 08901, USA. howon.lee@rutgers.edu.ORCID http://orcid.org/0000-0001-5778-2398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stimuli-responsive hydrogels exhibiting physical or chemical changes in response to environmental conditions have attracted growing attention for the past few decades. Poly(N-isopropylacrylamide) (PNIPAAm), a temperature responsive hydrogel, has been extensively studied in various fields of science and engineering. However, manufacturing of PNIPAAm has been heavily relying on conventional methods such as molding and lithography techniques that are inherently limited to a two-dimensional (2D) space. Here we report the three-dimensional (3D) printing of PNIPAAm using a high-resolution digital additive manufacturing technique, projection micro-stereolithography (PμSL). Control of the temperature dependent deformation of 3D printed PNIPAAm is achieved by controlling manufacturing process parameters as well as polymer resin composition. Also demonstrated is a sequential deformation of a 3D printed PNIPAAm structure by selective incorporation of ionic monomer that shifts the swelling transition temperature of PNIPAAm. This fast, high resolution, and scalable 3D printing method for stimuli-responsive hydrogels may enable many new applications in diverse areas, including flexible sensors and actuators, bio-medical devices, and tissue engineering.

Identifiers

PMID29386555
PMCPMC5792483

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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.