Evidence map›Paper›PMID 39494030›Full record

ArticleACS omega2024

Mechanism and Performance Evaluation of a Strain Sensor Made from a Composite Hydrogel Containing Conductive Fibers of Thermoplastic Polyurethane and Polyvinyl Alcohol.

Ming Kong, Ruiyu Zhou, Min Yang, Jun Zhang, Xiao Ma, Teng Gao, Yanbin Zhang, Benkai Li, Mingzheng Liu, Xin Cui and 2 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ming KongKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Ruiyu ZhouKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Min YangKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.ORCID https://orcid.org/0000-0003-4900-2149
Jun ZhangCollege of Physics, Qingdao University, Qingdao 266071, China.
Xiao MaKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Teng GaoKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Yanbin ZhangKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Benkai LiKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Mingzheng LiuKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Xin CuiKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.
Yunze LongCollege of Physics, Qingdao University, Qingdao 266071, China.
Changhe LiKey Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266033, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring human physiological conditions using flexible, stretchable strain sensors is an effective approach to prevent and treat critical illnesses, emergencies, and infectious diseases. However, achieving ultralow detection limits, high sensitivity, and a wide detection range in a cost-effective manner is challenging. In this study, a strain sensor was developed by embedding an adhesive hydrogel composed of polyvinyl alcohol, starch, and glutaraldehyde into conductive fibers made from thermoplastic polyurethane. By leveraging the high sensitivity of the conductive fibers and the wide detection range of the hydrogel, a robust dual-layer continuous conductive network was formed through their synergistic interaction. Tensile strength tests and other assessments indicated that the sensitivity of the sensor increased from a gauge factor of 49.32 (for fiber-based sensors) to 74.18, while the detection range expanded from 250 to 400%. Furthermore, the sensor demonstrated a low detection limit (0.6%), fast response and recovery times (80 ms/120 ms), and durability exceeding 800 cycles. Tests on pulse monitoring, joint movement, and voice recognition confirmed the significant applicability of the sensor for real-time monitoring of various physiological activities throughout a human's life. This study aims to provide technical support for the development of flexible wearable systems.

Identifiers

PMID39494030
PMCPMC11525740

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.