Evidence map›Paper›PMID 39771365›Full record

ArticlePolymers2024

Synergistic Effect of CNT and N-Doped Graphene Foam on Improving the Corrosion Resistance of Zn Reinforced Epoxy Composite Coatings.

Yana Mao, Shufu Liu, Shizhong Liu, Guodong Wu, Qi Liu, Xusheng Du

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yana MaoSchool of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Shufu LiuGansu Province Highway Aviation Tourism Investment Group Co., Ltd., Lanzhou 730030, China.
Shizhong LiuSchool of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Guodong WuChina Communications Construction Road & Bridge Southern Engineering Co., Ltd., Beijing 101100, China.
Qi LiuChina Communications Construction Road & Bridge Southern Engineering Co., Ltd., Beijing 101100, China.
Xusheng DuInstitute of Advanced Wear & Corrosion Resistant and Functional Materials, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-5244-862X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The synergistic effect of CNT and three-dimensional N-doped graphene foam (3DNG) on improving corrosion resistance of zinc-reinforced epoxy (ZRE) composite coatings was studied in this work. Although CNT itself was demonstrated to be effective to promote the anti-corrosion performance of the ZRE coating, the incorporation of additional 3DNG leads to further enhancement of its corrosion resistance under the synergistic effect of the hybrid carbon nanofillers with different dimensions. Both the content of the carbonaceous fillers and the ratio between them affected the performance of the coating. The optimal content of hybrid filler in the coating was determined to be only 0.1% with 3DNG:CNT = 1:3. With the modification of hybrid fillers, the corrosion current of the coating could be reduced by more than six orders of magnitude. Additionally, the immersion test of the pre-scratched coating directly demonstrated the evident contribution of the hybrid fillers to the sacrificial anode-based surface protection mechanism of the coating. These results confirmed the synergistic effect of the hybrid 1D and 3D carbonaceous fillers on promoting the corrosion inhibition of their coating, which could be promising for application in other functional composites.

Indexed as

carbon nanotubecorrosionepoxy composite coatinghybrid fillersself-repairingthree-dimensional graphene

Identifiers

PMID39771365
PMCPMC11677837

What OpenQuestion holds

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LicenceCC BY
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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.