Evidence map›Paper›PMID 38559999›Full record

ArticleACS omega2024

High-Sensitivity Flexible Capacitive Pressure Sensors Based on Biomimetic Hibiscus Flower Microstructures.

Ronghua Lan, Jinyong Zhang, Jing Chen, Wei Tang, Qingyang Wu, Xiaolin Zhou, Xiaoyang Kang, Jue Wang, Hongbo Wang, Hui Li

Abstract read
In one paragraph

Article in ACS omega, 2024. 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. Review
  5. 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

10 authors.

Ronghua LanCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Jinyong ZhangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Jing ChenShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.
Wei TangShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.
Qingyang WuCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Xiaolin ZhouCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Xiaoyang KangInstitute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China.
Jue WangKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.
Hongbo WangInstitute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China.
Hui LiCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.ORCID https://orcid.org/0000-0002-7245-9609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of low-dimensional nanomaterials with microscale architectures in flexible pressure sensors has garnered significant interest due to their outstanding performance in healthcare monitoring. However, achieving high sensitivity across different magnitudes of external pressure remains a critical challenge. Herein, we present a high-performance flexible pressure sensor crafted from biomimetic hibiscus flower microstructures coated with silver nanowires. When compared with a flat electrode, these microstructures as electrodes display significantly enhanced sensitivity and an extended stimulus-response range. Furthermore, we utilized an ionic gel film as the dielectric layer, resulting in an enhancement of the overall performance of the flexible pressure sensor through an increase in interfacial capacitance. Consequently, the capacitive pressure sensor exhibits an extraordinary ultrahigh sensitivity of 48.57 [Kpa]

Identifiers

PMID38559999
PMCPMC10976407

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.