Evidence map›Paper›PMID 36771779›Full record

ReviewPolymers2023

Chitosan-Based Polymer Nanocomposites for Environmental Remediation of Mercury Pollution.

Mvula Confidence Goci, Anny Leudjo Taka, Lynwill Martin, Michael John Klink

Abstract readReview
In one paragraph

Review in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Chitosan extraction fromFrontiers in chemistry · 2024
    Article
  6. Article
  7. 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

4 authors.

Mvula Confidence GociDepartment of Biotechnology/Chemistry, Vaal University of Technology, Andries Potgieter Boulevard, Vanderbijlpark 1911, South Africa.ORCID 0000-0002-9252-9969
Anny Leudjo TakaDepartment of Biotechnology/Chemistry, Vaal University of Technology, Andries Potgieter Boulevard, Vanderbijlpark 1911, South Africa.
Lynwill MartinCape Point Global Atmosphere Watch Station, South African Weather Service, c/o CSIR, Stellenbosch 7599, South Africa.
Michael John KlinkDepartment of Biotechnology/Chemistry, Vaal University of Technology, Andries Potgieter Boulevard, Vanderbijlpark 1911, South Africa.ORCID 0000-0002-9131-6312

Funding

South African Weather Services (SAWS) South African Mercury Network (SAMNet)
6 · The paper itself

Abstract

Mercury is a well-known heavy metal pollutant of global importance, typically found in effluents (lakes, oceans, and sewage) and released into the atmosphere. It is highly toxic to humans, animals and plants. Therefore, the current challenge is to develop efficient materials and techniques that can be used to remediate mercury pollution in water and the atmosphere, even in low concentrations. The paper aims to review the chitosan-based polymer nanocomposite materials that have been used for the environmental remediation of mercury pollution since they possess multifunctional properties, beneficial for the adsorption of various kinds of pollutants from wastewater and the atmosphere. In addition, these chitosan-based polymer nanocomposites are made of non-toxic materials that are environmentally friendly, highly porous, biocompatible, biodegradable, and recyclable; they have a high number of surface active sites, are earth-abundant, have minimal surface defects, and are metal-free. Advances in the modification of the chitosan, mainly with nanomaterials such as multi-walled carbon nanotube and nanoparticles (Ag, TiO

Indexed as

batch adsorptionchitosanmercury pollutionnanomaterialspassive samplerpolymer nanocomposites

Identifiers

PMID36771779
PMCPMC9921766

What OpenQuestion holds

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LicenceCC BY
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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.