Evidence map›Paper›PMID 35629685›Full record

ArticleMaterials (Basel, Switzerland)2022

Graphene Oxide@Heavy Metal Ions (GO@M) Complex Simulated Waste as an Efficient Adsorbent for Removal of Cationic Methylene Blue Dye from Contaminated Water.

Yangfan Ding, Zhe Chen, Jinglei Wu, Ahmed I Abd-Elhamid, Hisham F Aly, AbdElAziz A Nayl, Stefan Bräse

Abstract read
In one paragraph

Article in Materials (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
–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

1 citing paper in PubMed.

  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

7 authors.

Yangfan DingKey Laboratory of Science and Technology, Eco-Textile & Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, College of Chemistry, Chemical Engineering and Bio-Technology, Donghua University, Shanghai 201620, China.
Zhe ChenKey Laboratory of Science and Technology, Eco-Textile & Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, College of Chemistry, Chemical Engineering and Bio-Technology, Donghua University, Shanghai 201620, China.
Jinglei WuKey Laboratory of Science and Technology, Eco-Textile & Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, College of Chemistry, Chemical Engineering and Bio-Technology, Donghua University, Shanghai 201620, China.ORCID 0000-0001-9549-3992
Ahmed I Abd-ElhamidComposites and Nanostructured Materials Research Department, Advanced Technology and New Materials Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg Al-Arab 21934, Egypt.ORCID 0000-0002-8593-8713
Hisham F AlyHot Laboratories Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt.
AbdElAziz A NaylDepartment of Chemistry, College of Science, Jouf University, Sakaka 72341, Al Jouf, Saudi Arabia.ORCID 0000-0003-0531-5194
Stefan BräseInstitute of Organic Chemistry (IOC), Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 6, 76133 Karlsruhe, Germany.ORCID 0000-0003-4845-3191

Funding

Al Jouf University (DSR-2021-03-0366)
6 · The paper itself

Abstract

Graphene oxide (GO) was heavily used in the adsorption process of various heavy metal ions (such as copper (Cu) and iron (Fe) ions), resulting in a huge waste quantity of graphene oxide@metal ions complex. In this research, the authors try to solve this issue. Herein, the GO surface was loaded with divalent (Cu

Indexed as

adsorptioncationic dyegraphene oxideheavy metal ionsnanocompositewater treatment

Identifiers

PMID35629685
PMCPMC9147086

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.