Evidence map›Paper›PMID 35684379›Full record

ArticleMolecules (Basel, Switzerland)2022

Preparation of Magnetic MIL-68(Ga) Metal-Organic Framework and Heavy Metal Ion Removal Application.

Youjun Zhang, Licong Liu, Dixiong Yu, Jinglan Liu, Lin Zhao, Jinpeng Liu, Shuo Liu

Abstract read
PubMed Full text at PMC Publisher
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 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. Membranes · 2022
    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.

Youjun ZhangSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China.
Licong LiuTechnical Centre of Solid Waste and Soil Ecology of Inner Mongolia, Huhehaote 010000, China.
Dixiong YuKey Laboratory of Molecular Microbiology and Technology, Ministry of Education, Department of Microbiology, College of Life Sciences, Nankai University, Tianjin 300071, China.
Jinglan LiuTianjin North China Geological Exploration Bureau, Tianjin 300170, China.
Lin ZhaoTianjin North China Geological Exploration Bureau, Tianjin 300170, China.
Jinpeng LiuTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.ORCID 0000-0002-8607-5390
Shuo LiuKey Laboratory of Molecular Microbiology and Technology, Ministry of Education, Department of Microbiology, College of Life Sciences, Nankai University, Tianjin 300071, China.

Funding

Natural Foundation of Ningxia Hui Nationality Autonomous Region 2021BEG02002Natural Science Foundation of Tianjin 21YFSNSN00030
6 · The paper itself

Abstract

A magnetic metal-organic framework nanocomposite (magnetic MIL-68(Ga)) was synthesized through a "one pot" reaction and used for heavy metal ion removal. The morphology and elemental properties of the nanocomposite were characterized by scanning electron microscopy (SEM), Fourier transform infrared (FT-IR), X-ray powder diffraction (XRD), as well as zeta potential. Moreover, the factors affecting the adsorption capacity of the nanocomposite, including time, pH, metal ion type and concentration, were studied. It was found that the adsorption capacity of magnetic MIL-68(Ga) for Pb

Indexed as

Metal-Organic FrameworksMetals, HeavyWater Pollutants, ChemicalAdsorptionIonsMagnetic PhenomenaSpectroscopy, Fourier Transform InfraredIonsMetal-Organic FrameworksMetals, HeavyWater Pollutants, Chemicaladsorptionheavy metal ionsmagnetic separationMOF

Identifiers

PMID35684379
PMCPMC9182009

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.