Evidence map›Paper›PMID 31284536›Full record

ArticleMolecules (Basel, Switzerland)2019

Synthesis and Regeneration of A MXene-Based Pollutant Adsorbent by Mechanochemical Methods.

Mohammadtaghi Vakili, Giovanni Cagnetta, Jun Huang, Gang Yu, Jing Yuan

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Two-Dimensional Nanostructured TiNanomaterials (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

5 authors.

Mohammadtaghi VakiliGreen Intelligence Environmental School, Yangtze Normal University, Chongqing 408100, China.ORCID 0000-0003-4978-6887
Giovanni CagnettaState Key Joint Laboratory of Environment Simulation and Pollution Control (SKJLESPC), Beijing Key Laboratory of Emerging Organic Contaminants Control (BKLEOCC), Key Laboratory of Solid Waste Management and Environment Safety, School of Environment, POPs Research Center, Tsinghua University, Beijing 100084, China. gcagnetta@mail.tsinghua.edu.cn.ORCID 0000-0002-6794-2962
Jun HuangState Key Joint Laboratory of Environment Simulation and Pollution Control (SKJLESPC), Beijing Key Laboratory of Emerging Organic Contaminants Control (BKLEOCC), Key Laboratory of Solid Waste Management and Environment Safety, School of Environment, POPs Research Center, Tsinghua University, Beijing 100084, China.
Gang YuState Key Joint Laboratory of Environment Simulation and Pollution Control (SKJLESPC), Beijing Key Laboratory of Emerging Organic Contaminants Control (BKLEOCC), Key Laboratory of Solid Waste Management and Environment Safety, School of Environment, POPs Research Center, Tsinghua University, Beijing 100084, China.
Jing YuanGreen Intelligence Environmental School, Yangtze Normal University, Chongqing 408100, China.ORCID 0000-0001-7796-5327

Funding

Major Science and Technology Program for Water Pollution Control and Treatment 2017ZX07202003
6 · The paper itself

Abstract

In the present study, an adsorbent material for removal of organic contaminants in wastewater is synthetized by a green and facile mechanochemical method. It is composed of Ti

Indexed as

AdsorptionCarbonEnvironmental Restoration and RemediationKineticsNitrogen CompoundsTransition ElementsWater Pollutants, ChemicalCarbonNitrogen CompoundsTransition ElementsWater Pollutants, Chemicaladsorptionhigh energy ball millingmechanochemical synthesisMXene

Identifiers

PMID31284536
PMCPMC6651595

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.