Evidence map›Paper›PMID 35409150›Full record

ReviewInternational journal of molecular sciences2022

3D Printing Soft Matters and Applications: A Review.

Shuai Zhan, Amy X Y Guo, Shan Cecilia Cao, Na Liu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Tissue Engineering Technologies in the Management of Bone Infections.The archives of bone and joint surgery · 2025
    Article
  6. Review: Application of 3D Printing Technology in Soft Robots.3D printing and additive manufacturing · 2024
    Review
  7. Review
  8. 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

4 authors.

Shuai ZhanMaterials Genome Institute, Shanghai University, Shanghai 200444, China.
Amy X Y GuoMaterials Genome Institute, Shanghai University, Shanghai 200444, China.
Shan Cecilia CaoMaterials Genome Institute, Shanghai University, Shanghai 200444, China.
Na LiuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

Funding

National Natural Science Foundation of China (NSFC) 61933008; 61873307oint Fund of Science and Technology Department of Liaoning Province and State Key Laboratory of Robotics 2020-KF-22-07
6 · The paper itself

Abstract

The evolution of nature created delicate structures and organisms. With the advancement of technology, especially the rise of additive manufacturing, bionics has gradually become a popular research field. Recently, researchers have concentrated on soft robotics, which can mimic the complex movements of animals by allowing continuous and often responsive local deformations. These properties give soft robots advantages in terms of integration and control with human tissue. The rise of additive manufacturing technologies and soft matters makes the fabrication of soft robots with complex functions such as bending, twisting, intricate 3D motion, grasping, and stretching possible. In this paper, the advantages and disadvantages of the additive manufacturing process, including fused deposition modeling, direct ink writing, inkjet printing, stereolithography, and selective laser sintering, are discussed. The applications of 3D printed soft matter in bionics, soft robotics, flexible electronics, and biomedical engineering are reviewed.

Indexed as

Printing, Three-DimensionalRoboticsAnimalsElectronicsadditive manufacturingbiomedical engineeringbionicsflexible electronicssoft materialssoft robotics

Identifiers

PMID35409150
PMCPMC8998766

What OpenQuestion holds

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LicenceCC BY
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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.