Evidence map›Paper›PMID 33925077›Full record

ArticlePolymers2021

Fabrication of Carbon Nanomaterials Using Laser Scribing on Copper Nanoparticles-Embedded Polyacrylonitrile Films and Their Application in a Gas Sensor.

Yong-Il Ko, Min-Jae Kim, Dong-Yun Lee, Jungtae Nam, A-Rang Jang, Jeong-O Lee, Keun-Soo Kim

Abstract read
In one paragraph

Article in Polymers, 2021. 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. Review
  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.

Yong-Il KoDepartment of Physics and Graphene Research Institute, Sejong University, Seoul 05006, Korea.ORCID 0000-0001-5861-8370
Min-Jae KimDepartment of Physics and Graphene Research Institute, Sejong University, Seoul 05006, Korea.
Dong-Yun LeeDepartment of Physics and Graphene Research Institute, Sejong University, Seoul 05006, Korea.
Jungtae NamDepartment of Physics and Graphene Research Institute, Sejong University, Seoul 05006, Korea.
A-Rang JangDepartment of Electrical Engineering, Semyung University, Jecheon 27136, Korea.ORCID 0000-0002-0758-9757
Jeong-O LeeAdvanced Materials Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-ro 141, Daejeon 34114, Korea.
Keun-Soo KimDepartment of Physics and Graphene Research Institute, Sejong University, Seoul 05006, Korea.ORCID 0000-0002-4901-6156

Funding

Korea Electric Power Corporation R18XA06-34Ministry of Science and ICT (MSIT) 2019R1A2C1009963
6 · The paper itself

Abstract

Carbon nanomaterials have attracted significant research attention as core materials in various industrial sectors owing to their excellent physicochemical properties. However, because the preparation of carbon materials is generally accompanied by high-temperature heat treatment, it has disadvantages in terms of cost and process. In this study, highly sensitive carbon nanomaterials were synthesized using a local laser scribing method from a copper-embedded polyacrylonitrile (CuPAN) composite film with a short processing time and low cost. The spin-coated CuPAN was converted into a carbonization precursor through stabilization and then patterned into a carbon nanomaterial of the desired shape using a pulsed laser. In particular, the stabilization process was essential in laser-induced carbonization, and the addition of copper promoted this effect as a catalyst. The synthesized material had a porous 3D structure that was easy to detect gas, and the resistance responses were detected as -2.41 and +0.97% by exposure to NO

Indexed as

carbon nanomaterialscopper particlesgas sensorlaser scribingpolyacrylonitrilestabilization

Identifiers

PMID33925077
PMCPMC8124524

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.