Evidence map›Paper›PMID 38032171›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

High-Throughput Manufacturing of Multimodal Epidermal Mechanosensors with Superior Detectability Enabled by a Continuous Microcracking Strategy.

Jianing An, Van Thai Tran, Hai Xu, Wenshuai Ma, Xingkuan Chen, Truong-Son Dinh Le, Hejun Du, Gengzhi Sun, Young-Jin Kim

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Jianing AnInstitute of Photonics Technology, Jinan University, Guangzhou, 510632, P. R. China.ORCID 0000-0002-5578-2535
Van Thai TranSingapore Centre for 3D Printing, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Hai XuCollege of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, P. R. China.
Wenshuai MaInstitute of Photonics Technology, Jinan University, Guangzhou, 510632, P. R. China.
Xingkuan ChenDepartment of Chemistry, Jinan University, Guangzhou, 510632, P. R. China.
Truong-Son Dinh LeDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Hejun DuSingapore Centre for 3D Printing, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Gengzhi SunInstitute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), Nanjing, 211816, P. R. China.
Young-Jin KimDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID 0000-0002-4271-5771

Funding

Anhui Provincial Key R&D Program 2022i01020021Guangdong Basic and Applied Basic Research Fund 2023A1515012820Guangzhou Science and Technology Program 202201020559National Natural Science Foundation of China 21975123National Natural Science Foundation of China 62005103National Research Foundation of the Republic of Korea 2020R1A2C2102338National Research Foundation of the Republic of Korea 2021R1A4A1031660Pearl River Talent Program of Guangdong Province 2021QN020472Pearl River Talent Program of Guangdong Province 2021QN02X046R&D Program for Forest Science Technology 2023488A00-2325-AA01Six Talent Peaks Project in Jiangsu Province XCL-024
6 · The paper itself

Abstract

Non-invasive human-machine interactions (HMIs) are expected to be promoted by epidermal tactile receptive devices that can accurately perceive human activities. In reality, however, the HMI efficiency is limited by the unsatisfactory perception capability of mechanosensors and the complicated techniques for device fabrication and integration. Herein, a paradigm is presented for high-throughput fabrication of multimodal epidermal mechanosensors based on a sequential "femtosecond laser patterning-elastomer infiltration-physical transfer" process. The resilient mechanosensor features a unique hybrid sensing layer of rigid cellular graphitic flakes (CGF)-soft elastomer. The continuous microcracking of CGF under strain enables a sharp reduction in conductive pathways, while the soft elastomer within the framework sustains mechanical robustness of the structure. As a result, the mechanosensor achieves an ultrahigh sensitivity in a broad strain range (GF of 371.4 in the first linear range of 0-50%, and maximum GF of 8922.6 in the range of 61-70%), a low detection limit (0.01%), and a fast response/recovery behavior (2.6/2.1 ms). The device also exhibits excellent sensing performances to multimodal mechanical stimuli, enabling high-fidelity monitoring of full-range human motions. As proof-of-concept demonstrations, multi-pixel mechanosensor arrays are constructed and implemented in a robot hand controlling system and a security system, providing a platform toward efficient HMIs.

Indexed as

GraphiteWearable Electronic DevicesElastomersEpidermisHumansMotionTouchElastomersGraphitecontinuous microcrackinghigh-throughput laser manufacturingmultimodal epidermal mechanosensorsrigid-soft hybrid sensing layersuperior detectability

Identifiers

PMID38032171
PMCPMC10811494

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.