Evidence map›Paper›PMID 39339105›Full record

ArticlePolymers2024

Preparation and Characterization of Graphene Oxide/Carbon Nanotube/Polyaniline Composite and Conductive and Anticorrosive Properties of Its Waterborne Epoxy Composite Coatings.

Yufeng Li, Shibo Liu, Feng Feng, Yiming Li, Yahui Han, Xinyang Tong, Xiaohui Gao

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

7 authors.

Yufeng LiCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Shibo LiuCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Feng FengCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Yiming LiCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Yahui HanCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Xinyang TongCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
Xiaohui GaoCollege of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.

Funding

the Fundamental Research Funds in Heilongjiang Provincial Universities 145309524
6 · The paper itself

Abstract

The organic coating on the surface is common and the most effective method to prevent metal materials from corrosion. However, the corrosive medium can penetrate the metal surface via micropores, and electrons cannot transfer in the pure resin coatings. In this paper, a new type of anticorrosive and electrically conductive composite coating filled with graphene oxide/carbon nanotube/polyaniline (GO/CNT/PANI) nanocomposites was successfully prepared by in situ polymerization of aniline (AN) on the surface of GO and CNT and using waterborne epoxy resin (WEP) as film-forming material. The structure and morphology of the composite were characterized using a series of characterization methods. The composite coatings were comparatively examined through resistivity, potentiodynamic polarization curves, electrochemical impedance spectroscopy (EIS), and salt spray tests. The results show that the GO/CNT/PANI/WEP composite coating exhibits excellent corrosion resistance for metal substrates and good conductivity when the mass fraction of GO/CNT/PANI is 3.5%. It exhibits a lower corrosion current density of 4.53 × 10

Indexed as

anticorrosive propertiescarbon nanotube (CNT)electrical conductivegraphene oxide (GO)polyaniline (PANI)waterborne epoxy (WEP)

Identifiers

PMID39339105
PMCPMC11435755

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.