Evidence map›Paper›PMID 33917418›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Investigations of Graphene and Nitrogen-Doped Graphene Enhanced Polycaprolactone 3D Scaffolds for Bone Tissue Engineering.

Weiguang Wang, Jun-Xiang Chen, Yanhao Hou, Paulo Bartolo, Wei-Hung Chiang

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. 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
–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

9 citing papers in PubMed.

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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

5 authors.

Weiguang WangDepartment of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-8959-329X
Jun-Xiang ChenDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei E2-514, Taiwan.
Yanhao HouDepartment of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-9229-0356
Paulo BartoloDepartment of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0003-3683-726X
Wei-Hung ChiangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei E2-514, Taiwan.ORCID 0000-0002-6350-6696

Funding

Engineering and Physical Sciences Research Council EP/R01513/1Ministry of Science and Technology, Taiwan MOST 107-2628-E-011-002-MY3, MOST 107-2911-1-011-504 and MOST 108-2623-E-011-001-NURosetrees Trust A2750/M874
6 · The paper itself

Abstract

Scaffolds play a key role in tissue engineering applications. In the case of bone tissue engineering, scaffolds are expected to provide both sufficient mechanical properties to withstand the physiological loads, and appropriate bioactivity to stimulate cell growth. In order to further enhance cell-cell signaling and cell-material interaction, electro-active scaffolds have been developed based on the use of electrically conductive biomaterials or blending electrically conductive fillers to non-conductive biomaterials. Graphene has been widely used as functioning filler for the fabrication of electro-active bone tissue engineering scaffolds, due to its high electrical conductivity and potential to enhance both mechanical and biological properties. Nitrogen-doped graphene, a unique form of graphene-derived nanomaterials, presents significantly higher electrical conductivity than pristine graphene, and better surface hydrophilicity while maintaining a similar mechanical property. This paper investigates the synthesis and use of high-performance nitrogen-doped graphene as a functional filler of poly(

Indexed as

additive manufacturingbiomanufacturingdopingelectro-active scaffoldsextrusion processgraphenepolycaprolactonetissue engineering

Identifiers

PMID33917418
PMCPMC8067503

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.