Evidence map›Paper›PMID 36985994›Full record

ArticleNanomaterials (Basel, Switzerland)2023

One Pot Self-Assembling Fe@PANI Core-Shell Nanowires for Radar Absorption Application.

Chung-Kwei Lin, Yuh-Jing Chiou, Sheng-Jung Tsou, Chih-Yi Chung, Chen-Chun Chao, Ruey-Bing Yang

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Chung-Kwei LinResearch Center of Digital Oral Science and Technology, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0003-4964-8687
Yuh-Jing ChiouDepartment of Chemical Engineering and Biotechnology, Tatung University, Taipei 104, Taiwan.ORCID 0000-0002-9590-5667
Sheng-Jung TsouDepartment of Chemical Engineering and Biotechnology, Tatung University, Taipei 104, Taiwan.
Chih-Yi ChungDepartment of Chemical Engineering and Biotechnology, Tatung University, Taipei 104, Taiwan.
Chen-Chun ChaoDepartment of Chemical Engineering and Biotechnology, Tatung University, Taipei 104, Taiwan.
Ruey-Bing YangDepartment of Aerospace and Systems Engineering, Feng Chia University, Taichung 407, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The one-pot process, which combines the polymerization of polyaniline (i.e., PANI) with subsequent reduction of iron nanowire (i.e., Fe NW) under a magnetic field, was developed to produce Fe@PANI core-shell nanowires. The synthesized nanowires with various PANI additions (0-30 wt.%) were characterized and used as microwave absorbers. Epoxy composites with 10 wt.% absorbers were prepared and examined using the coaxial method to reveal their microwave absorbing performance. Experimental results showed that the Fe NWs with PANI additions (0-30 wt.%) had average diameters ranging from 124.72 to 309.73 nm. As PANI addition increases, the α-Fe phase content and the grain size decrease, while the specific surface area increases. The nanowire-added composites exhibited superior microwave absorption performance with wide effective absorption bandwidths. Among them, Fe@PANI-90/10 exhibits the best overall microwave absorption performance. With a thickness of 2.3 mm, effective absorption bandwidth was the widest and reached 3.73 GHz, ranging from 9.73 to 13.46 GHz. Whereas with a thickness of 5.4 mm, Fe@PANI-90/10 reached the best reflection loss of -31.87 dB at 4.53 GHz.

Indexed as

iron nanowireone pot and radar absorptionpolyaniline

Identifiers

PMID36985994
PMCPMC10052763

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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.