Evidence map›Paper›PMID 36975324›Full record

ReviewBiomimetics (Basel, Switzerland)2023

Convergence of 3D Bioprinting and Nanotechnology in Tissue Engineering Scaffolds.

Shike Zhang, Xin Chen, Mengyao Shan, Zijuan Hao, Xiaoyang Zhang, Lingxian Meng, Zhen Zhai, Linlin Zhang, Xuying Liu, Xianghong Wang

Open access · goldFull text readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.9field-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

31 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  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

10 authors at 2 institutions in 1 country.

Shike ZhangHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Xin ChenNational Engineering Research Center of Wheat and Corn Further Processing, College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Mengyao ShanHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zijuan HaoHenan Innovation Center for Functional Polymer Membrane Materials, Xinxiang 453000, China.
Xiaoyang ZhangHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Lingxian MengHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhen ZhaiHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Linlin ZhangHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Xuying LiuHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Xianghong WangHenan Innovation Center for Functional Polymer Membrane Materials, Henan Key Laboratory of Advanced Nylon Materials and Application, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhengzhou University · CNHenan University of Technology · CN

Funding

the National Natural Science Foundation of China 52203028
6 · The paper itself

Abstract

Three-dimensional (3D) bioprinting has emerged as a promising scaffold fabrication strategy for tissue engineering with excellent control over scaffold geometry and microstructure. Nanobiomaterials as bioinks play a key role in manipulating the cellular microenvironment to alter its growth and development. This review first introduces the commonly used nanomaterials in tissue engineering scaffolds, including natural polymers, synthetic polymers, and polymer derivatives, and reveals the improvement of nanomaterials on scaffold performance. Second, the 3D bioprinting technologies of inkjet-based bioprinting, extrusion-based bioprinting, laser-assisted bioprinting, and stereolithography bioprinting are comprehensively itemized, and the advantages and underlying mechanisms are revealed. Then the convergence of 3D bioprinting and nanotechnology applications in tissue engineering scaffolds, such as bone, nerve, blood vessel, tendon, and internal organs, are discussed. Finally, the challenges and perspectives of convergence of 3D bioprinting and nanotechnology are proposed. This review will provide scientific guidance to develop 3D bioprinting tissue engineering scaffolds by nanotechnology.

Indexed as

3D bioprintingnanobiomaterialsnanotechnologytissue engineering scaffolds

Identifiers

PMID36975324
PMCPMC10046132
OpenAlexW4322499733

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read20
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.