Evidence map›Paper›PMID 39041832›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

High-Performance Sensing Platform Based on Morphology/Lattice Collaborative Control of Femtosecond-Laser-Induced MXene-Composited Graphene.

Ruige Su, Misheng Liang, Yongjiu Yuan, Chaojun Huang, Wenqiang Xing, Xiaomeng Bian, Yiling Lian, Bo Wang, Zheng You, Rui You

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Ruige SuLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.
Misheng LiangLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.ORCID https://orcid.org/0009-0007-6445-3761
Yongjiu YuanDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, P. R. China.
Chaojun HuangLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.
Wenqiang XingLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.
Xiaomeng BianLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.
Yiling LianSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China.
Bo WangInstitute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
Zheng YouState Key Laboratory of Precision Testing Technology and Instruments, Tsinghua University, Beijing, 100084, P. R. China.
Rui YouLaboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing, 100192, P. R. China.ORCID https://orcid.org/0000-0003-2668-8221

Funding

Beijing Nova Program 20230484473Hubei Province Key Research and Development Project 2023BCB151National Natural Science Foundation of China 62204020
6 · The paper itself

Abstract

Flexible sensors based on laser-induced graphene (LIG) are widely used in wearable personal devices, with the morphology and lattice arrangement of LIG the key factors affecting their performance in various applications. In this study, femtosecond-laser-induced MXene-composited graphene (LIMG) is used to improve the electrical conductivity of graphene by incorporating MXene, a 2D material with a high concentration of free electrons, into the LIG structure. By combining pump-probe detection, laser-induced breakdown spectroscopy (LIBS), and density functional theory (DFT) calculations, the morphogenesis and lattice structuring principles of LIMG is explored, with the results indicating that MXene materials are successfully embedded in the graphene lattice, altering both their morphology and electrical properties. The structural sparsity and electrical conductivity of LIMG composites (up to 3187 S m

Indexed as

high‐performance sensing platformlaser‐induced graphenemorphology/lattice controlMXene‐composited grapheneprobe and pump technology

Identifiers

PMID39041832
PMCPMC11423250

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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.