Evidence map›Paper›PMID 40735464›Full record

ArticleResearch (Washington, D.C.)2025

Ultrathin and Highly Conformal Self-Powered Sensors by Liquid-Phase Transferring.

Xingyi Dai, Qihua Liang, Yinghui Wu, Jiaxin Han, Yajun Cao, Xuyang Zhang, Junhui Huang, Junle Qu, Long-Biao Huang, Jie Kong and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Xingyi DaiKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Qihua LiangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Yinghui WuKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Jiaxin HanKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Yajun CaoKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Xuyang ZhangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Junhui HuangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Junle QuKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Long-Biao HuangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China.ORCID https://orcid.org/0000-0002-4169-1472
Jie KongMOE Key Laboratory of Materials Physics and Chemistry in Extraordinary Conditions, Shaanxi Key Laboratory of Macromolecular Science and Technology, School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China.
Jianhua HaoDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-powered sensing technologies have sparked a revolution in electric devices. Furthermore, ultrathin characteristics are highly desirable for on-skin and wearable devices to achieve superior conformability on complex 3-dimensional surfaces, which facilitates improved wearing comfort and detection accuracy. However, developing self-powered sensors with ultrathin and conformal features without complicated fabrication processes remains a formidable challenge. Herein, we present an ultrathin self-powered sensor with high conformability, fabricated by a liquid-phase transferring approach. The sandwich-like sensor is spin-coated layer by layer on a water-soluble substrate. Upon immersion in water and complete dissolution of the sacrificial layer, the sensor can be transferred to a variety of surfaces with diverse morphologies. The ultrathin sensor shows long-term stability. When the 45-μm-thick sensor is transferred to human skin, robotic hands, insole, flat plates with fine bevels, cylinders, undulating surfaces, and leaf textures, the fingerprint and surface details of the objects are vividly reflected on the sensor surface, attesting to its exceptional conformability. Driven by the triboelectric effect, the self-powered sensor and its array exhibit good sensitivity and rapid response time, enabling tactile sensing functions for pressure, material species, surface roughness detection, and motion state. The proposed design strategies for ultrathin self-powered sensors hold immense promises in wearable devices, robotics, and human-machine interfacing.

Identifiers

PMID40735464
PMCPMC12304740

What OpenQuestion 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 OpenQuestion graph.