Evidence map›Paper›PMID 39824812›Full record

ArticleNature communications2025

Thermoelectric porous laser-induced graphene-based strain-temperature decoupling and self-powered sensing.

Li Yang, Xue Chen, Ankan Dutta, Hui Zhang, Zihan Wang, Mingyang Xin, Shuaijie Du, Guizhi Xu, Huanyu Cheng

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  14. Advances in Laser-Induced Graphene for Flexible Sensors.Materials (Basel, Switzerland) · 2026
    Review
  15. Review
  16. 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.

Li YangSchool of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300130, Tianjin, China. yangli5781@126.com.ORCID http://orcid.org/0000-0001-6798-3177
Xue ChenSchool of Electrical Engineering, Hebei University of Technology, 300130, Tianjin, China.
Ankan DuttaDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, 16802, USA.
Hui ZhangState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, 300130, Tianjin, China.
Zihan WangSchool of Mechanical Engineering, Hebei University of Technology, 300401, Tianjin, China.
Mingyang XinSchool of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300130, Tianjin, China.
Shuaijie DuSchool of Electrical Engineering, Hebei University of Technology, 300130, Tianjin, China.
Guizhi XuState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, 300130, Tianjin, China.
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, 16802, USA. huanyu.cheng@psu.edu.ORCID http://orcid.org/0000-0001-6075-4208

Funding

Smart skin grafts for quantitative assessment and treatment of diabetic woundsR21EB030140 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHENG, HUANYU · 2021 to 2021
$620k
China Postdoctoral Science Foundation 2024T170651Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R21EB030140National Natural Science Foundation of China (National Science Foundation of China) 52475591National Science Foundation (NSF) 2243979National Science Foundation (NSF) 2309323National Science Foundation (NSF) 2319139Natural Science Foundation of Hebei Province (Hebei Provincial Natural Science Foundation) H2023202904NIBIB NIH HHS R21 EB030140
6 · The paper itself

Abstract

Despite rapid developments of wearable self-powered sensors, it is still elusive to decouple the simultaneously applied multiple input signals. Herein, we report the design and demonstration of stretchable thermoelectric porous graphene foam-based materials via facile laser scribing for self-powered decoupled strain and temperature sensing. The resulting sensor can accurately detect temperature with a resolution of 0.5°C and strain with a gauge factor of 1401.5. The design of the nanocomposites also explores the synergistic effect between the porous graphene and thermoelectric components to greatly enhance the Seebeck coefficient by almost four times (from 9.703 to 37.33 μV/°C). Combined with the stretchability of 45%, the self-powered sensor platform allows for early fire detection in remote settings and accurate and decoupled monitoring of temperature and strain during the wound healing process in situ. The design concepts from this study could also be leveraged to prepare multimodal sensors with decoupled sensing capability for accurate multi-parameter detection towards health monitoring.

Identifiers

PMID39824812
PMCPMC11742402

What OpenQuestion holds

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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.