Evidence map›Paper›PMID 40885715›Full record

ArticleNature communications2025

Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition.

Mingqi Ding, Pengshan Xie, Jingwen Wang, Wu Guo, Haifan Li, Siliang Hu, Dengji Li, Bowen Li, Nan Wang, Chun-Yuen Wong and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

12 authors.

Mingqi Ding *Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Pengshan Xie *Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Jingwen Wang *Hunan Key Laboratory for Super-microstructure and Ultrafast Process, School of Physics, Central South University, Changsha, Hunan, China.
Wu GuoNational Key Laboratory of Advanced Polymer Materials, Polymer Research Institute of Sichuan University, Chengdu, China.
Haifan LiDepartment of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China.
Siliang HuDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Dengji LiDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID http://orcid.org/0000-0002-4406-0246
Bowen LiDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID http://orcid.org/0000-0001-5133-931X
Nan WangDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Chun-Yuen WongDepartment of Chemistry, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID http://orcid.org/0000-0003-4780-480X
Jia SunHunan Key Laboratory for Super-microstructure and Ultrafast Process, School of Physics, Central South University, Changsha, Hunan, China. jiasun@csu.edu.cn.ORCID http://orcid.org/0000-0003-4423-8128
Johnny C HoDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China. johnnyho@cityu.edu.hk.ORCID http://orcid.org/0000-0003-3000-8794

Funding

Research Grants Council, University Grants Committee (RGC, UGC) CRS_CityU101/24
6 · The paper itself

Abstract

The challenge of achieving high recognition accuracy in artificial mechanoreceptors arises from the trade-off between sensitivity and stability in the sensing unit. Inspired by human skin, we developed a biomimetic approach that involves structural and engineering enhancements for ionic-conducting polyvinyl alcohol/Ti

Identifiers

PMID40885715
PMCPMC12398529

What OpenQuestion holds

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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.