Evidence map›Paper›PMID 40192012›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Mechanistic Insights into the Structural Evolution of ZIF-67 via Electrospinning Strategy Toward High Electromagnetic Wave Absorption Performance of ZIF-67-Derived Carbon Nanofibers.

Xinhui Cao, Xinyi Wu, Xue Wang, Jiamei Luo, Zhe Zhang, Yi Xue, Guoliang Zhang, Liying Zhang, Hui Zhang, Jianyong Yu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

10 authors.

Xinhui CaoShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Xinyi WuCenter for Computational Chemistry, College of Chemistry and Chemical Engineering, Wuhan Textile University, Wuhan, 430200, P. R. China.
Xue WangCollege of Textiles, Donghua University, Shanghai, 201620, P. R. China.
Jiamei LuoShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Zhe ZhangShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Yi XueShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Guoliang ZhangShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Liying ZhangShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
Hui ZhangShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.ORCID https://orcid.org/0000-0002-3432-6792
Jianyong YuShanghai Collaborative Innovation Center of High-Performance Fibers and Composites (Province-Ministry Joint), Center for Civil Aviation Composites, Donghua University, Shanghai, 201620, P. R. China.

Funding

Aeronautical Science Foundation of China 202200010M2002National Natural Science Foundation of China 52473072Shanghai Key Laboratory of Lightweight Composite 2232019A4-04
6 · The paper itself

Abstract

Metal-organic framework (MOF)-derived architectures are regarded as an effective electromagnetic wave (EMW)-absorbing materials owing to their adjustable compositions and microstructures. The combination of MOFs with carbon nanofibers (CNFs) is a practical method to increase the EMW absorption ability. In this work, cobalt-based zeolitic imidazolate framework-67 (ZIF-67) serves as a self-sacrificing precursor to fabricate Co-carbon nanofiber (Co-CNF) composites via an in situ electrospinning strategy. Comparative studies on ex situ and in situ, electrospinning strategies for EMW absorption are conducted. A unique structural evolution mechanism from ZIF-67 to Co nanoparticles is explored. Numerous small Co nanoparticles are evenly distributed on the surface of in situ synthesized Co-CNF (in-Co-CNF) resulting from the collapse of the ZIF-67 framework, whereas the ZIF-67 framework remains on the surface of ex situ synthesized Co-CNF (ex-Co-CNF), encapsulating large Co nanoparticles. A lower reflection loss (RL) of -48.6 dB at 6.8 GHz with 3.5 mm is achieved for the in-Co-CNF because of the improved conduction, polarization, and magnetic losses, whereas the ex-Co-CNF only exhibits an RL of -18.3 dB at 9.3 GHz with the same thickness. A radar cross-section (RCS) simulation and a Tesla wireless transmission experiment are conducted to validate the EMW absorption of Co-CNF composites in real applications.

Indexed as

carbon nanofiberscobalt‐based zeolitic imidazolate frameworkelectromagnetic wave absorptionex situ electrospinningin situ electrospinning

Identifiers

PMID40192012
PMCPMC12244997

What OpenQuestion holds

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LicenceCC BY
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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.