Evidence map›Paper›PMID 32193398›Full record

ArticleNature communications2020

A flexible topo-optical sensing technology with ultra-high contrast.

Cong Wang, Ding Wang, Valery Kozhevnikov, Xingyi Dai, Graeme Turnbull, Xue Chen, Jie Kong, Ben Zhong Tang, Yifan Li, Ben Bin Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

10 authors.

Cong WangDepartment of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.ORCID http://orcid.org/0000-0003-0263-1933
Ding WangDepartment of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Valery KozhevnikovDepartment of Applied Sciences, Faculty of Health and Life Science, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Xingyi DaiMOE Key Laboratory of Material Physics and Chemistry under Extraordinary, Shaanxi Key Laboratory of Macromolecular Science and Technology, School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
Graeme TurnbullDepartment of Applied Sciences, Faculty of Health and Life Science, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.ORCID http://orcid.org/0000-0003-2606-3387
Xue ChenDepartment of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Jie KongMOE Key Laboratory of Material Physics and Chemistry under Extraordinary, Shaanxi Key Laboratory of Macromolecular Science and Technology, School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an, 710072, China. kongjie@nwpu.edu.cn.
Ben Zhong TangDepartment of Chemistry, The Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. tangbenz@ust.hk.ORCID http://orcid.org/0000-0002-0293-964X
Yifan LiDepartment of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK. yifan.li@northumbria.ac.uk.ORCID http://orcid.org/0000-0003-2543-9741
Ben Bin XuDepartment of Mechanical and Construction Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK. ben.xu@northumbria.ac.uk.ORCID http://orcid.org/0000-0002-6747-2016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elastic folding, a phenomenon widely existing in nature, has attracted great interests to understand the math and physical science behind the topological transition on surface, thus can be used to create frontier engineering solutions. Here, we propose a topo-optical sensing strategy with ultra-high contrast by programming surface folds on targeted area with a thin optical indicator layer. A robust and precise signal generation can be achieved under mechanical compressive strains (>0.4). This approach bridges the gap in current mechano-responsive luminescence mechanism, by utilizing the unwanted oxygen quenching effect of Iridium-III (Ir-III) fluorophores to enable an ultra-high contrast signal. Moreover, this technology hosts a rich set of attractive features such as high strain sensing, encoded logic function, direct visualisation and good adaptivity to the local curvature, from which we hope it will enable new opportunities for designing next generation flexible/wearable devices.

Identifiers

PMID32193398
PMCPMC7081276

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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.