Evidence map›Paper›PMID 36712608›Full record

ArticleRSC advances2023

Electrochemical behaviour of cellulose/reduced graphene oxide/carbon fiber paper electrodes towards the highly sensitive detection of amitrole.

Hui Hu, Si Wu, Cheng Wang, Xiaohui Wang, Xiaowen Shi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2023. 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. Review
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

5 authors.

Hui HuSchool of Resource and Environmental Science, Hubei Engineering Center of Natural Polymers-Based Medical Materials, Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Wuhan University Wuhan 430079 China shixw@whu.edu.cn.
Si WuCollege of Resources and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology Wuhan 430081 China.ORCID https://orcid.org/0000-0001-6325-3951
Cheng WangState Key Laboratory of Pulp and Paper Engineering, South China University of Technology Guangzhou 510640 China.
Xiaohui WangState Key Laboratory of Pulp and Paper Engineering, South China University of Technology Guangzhou 510640 China.ORCID https://orcid.org/0000-0002-3769-2325
Xiaowen ShiSchool of Resource and Environmental Science, Hubei Engineering Center of Natural Polymers-Based Medical Materials, Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Wuhan University Wuhan 430079 China shixw@whu.edu.cn.ORCID https://orcid.org/0000-0001-8294-2920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amitrole is a non-selective triazole herbicide that is widespread used to control a variety of weeds in agriculture, but it may pollute the environment and do harm to organisms. Thus, it is of critical significance to enlist a low-cost, sensitive, stable and renewable method to detect amitrole. In this paper, electrochemical experiments were carried out using carbon fibers/reduced graphene oxide/cellulose paper electrodes, which demonstrated good electrocatalytic performance for amitrole detection. The electrochemical process of amitrole on the surface of the reduced paper electrode was a quasi-reversible reaction controlled by diffusion. Cyclic voltammetry and the amperometric

Identifiers

PMID36712608
PMCPMC9830654

What OpenQuestion holds

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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.