Evidence map›Paper›PMID 36431943›Full record

ArticleMolecules (Basel, Switzerland)2022

Facile Synthesis of Aminated Graphene Quantum Dots for Promising and Selective Detection of Cobalt and Copper Ions in Aqueous Media.

Weitao Li, Ningjia Jiang, Luoman Zhang, Yongqian Chen, Jie Gao, Jihang Zhang, Baoshuo Yang, Jianxin He

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Weitao LiTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.ORCID 0000-0002-2738-007X
Ningjia JiangTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Luoman ZhangTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Yongqian ChenTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Jie GaoTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Jihang ZhangTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Baoshuo YangTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Jianxin HeTextile and Garment Industry of Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China.
Zhongyuan University of Technology · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the rapid development of industrialization, various environmental problems such as water resource pollution are gradually emerging, among which heavy metal pollution is harmful to both human beings and the environment. As a result, there are many metal ion detection methods, among which fluorescence detection stands out because of its rapid, sensitive, low cost and non-toxic characteristics. In recent years, graphene quantum dots have been widely used and studied due to their excellent properties such as high stability, low toxicity and water solubility, and have a broad prospect in the field of metal ion detection. A novel high fluorescence Cu

Indexed as

GraphiteQuantum DotsCobaltCopperHumansIonsWaterCobaltCopperGraphiteIonsWateramino functionalizationCo2+Cu2+graphene quantum dots

Identifiers

PMID36431943
PMCPMC9692581
OpenAlexW4309210617

What OpenQuestion holds

Textmetadata
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.