Evidence map›Paper›PMID 37440869›Full record

ArticleMicrosystems & nanoengineering2023

A nanonewton-scale biomimetic mechanosensor.

Chi Zhang, Mengxi Wu, Ming Li, Lixuan Che, Zhiguang Tan, Di Guo, Zhan Kang, Shuye Cao, Siqi Zhang, Yu Sui and 3 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2023. 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. Review
  2. Review
  3. 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

13 authors.

Chi Zhang *State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Mengxi Wu *State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.ORCID 0000-0003-0086-5349
Ming LiState Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, China.
Lixuan CheState Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, China.
Zhiguang TanState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Di GuoState Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, China.
Zhan KangState Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, China.
Shuye CaoState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Siqi ZhangState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Yu SuiState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Jining SunState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Liding WangState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.
Junshan LiuState Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, 116024 Dalian, Liaoning China.ORCID 0000-0002-9087-5518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomimetic mechanosensors have profound implications for various areas, including health care, prosthetics, human‒machine interfaces, and robotics. As one of the most important parameters, the sensitivity of mechanosensors is intrinsically determined by the detection resolution to mechanical force. In this manuscript, we expand the force detection resolution of current biomimetic mechanosensors from the micronewton to nanonewton scale. We develop a nanocrack-based electronic whisker-type mechanosensor that has a detection resolution of 72.2 nN. We achieve the perception of subtle mechanical stimuli, such as tiny objects and airflow, and the recognition of surface morphology down to a 30 nm height, which is the finest resolution ever reported in biomimetic mechanosensors. More importantly, we explore the use of this mechanosensor in wearable devices for sensing gravity field orientation with respect to the body, which has not been previously achieved by these types of sensors. We develop a wearable smart system for sensing the body's posture and movements, which can be used for remote monitoring of falls in elderly people. In summary, the proposed device offers great advantages for not only improving sensing ability but also expanding functions and thus can be used in many fields not currently served by mechanosensors.

Indexed as

Electrical and electronic engineeringElectronic properties and materials

Identifiers

PMID37440869
PMCPMC10333214

What OpenQuestion holds

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LicenceCC BY
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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.