Evidence map›Paper›PMID 33216298›Full record

ArticleEnvironmental science and pollution research international2021

Magnetic graphene-based nanocomposites as highly efficient absorbents for Cr(VI) removal from wastewater.

Xiuxiu Zhang, Guiyun Yi, Zhengting Zhang, Jia Yu, Haiyang Fan, Peng Li, Huihui Zeng, Baolin Xing, Lunjian Chen, Chuanxiang Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Construction of nitrogen vacant g-CEnvironmental science and pollution research international · 2022
    Article
  3. 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

10 authors.

Xiuxiu ZhangCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Guiyun YiCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China. ygyun@hpu.edu.cn.
Zhengting ZhangCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Jia YuCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Haiyang FanCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Peng LiCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Huihui ZengCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Baolin XingCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Lunjian ChenCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Chuanxiang ZhangCollege of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the merits of their high adsorption and convenient separation, magnetic graphene-based composites have become a promising adsorbent in terms of wastewater treatment. However, recycling and regeneration properties of magnetic graphene-based composites are still a conundrum, which remains to be resolved. Here, Fe

Indexed as

GraphiteNanocompositesWater Pollutants, ChemicalAdsorptionChromiumMagnetic PhenomenaWastewaterChromiumchromium hexavalent ionGraphiteWastewaterWater Pollutants, ChemicalAdsorptionHeavy metal ionsMagnetic graphene-based compositesMechanismRecyclingRegeneration

Identifiers

PMID33216298

What OpenQuestion holds

Textmetadata
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.