Evidence map›Paper›PMID 34345990›Full record

ArticleEnvironmental science and pollution research international2022

Green synthesis of a novel functionalized chitosan adsorbent for Cu(II) adsorption from aqueous solution.

Fang Wang, Jiyun Gao, Lijuan Jia, Shixing Wang, Ping Ning

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Dual-modification of biocharRSC advances · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. 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.

Fang WangFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China.
Jiyun GaoSchool of Chemistry and Environment, Yunnan Minzu University, Kunming, 650500, Yunnan, People's Republic of China.
Lijuan JiaSchool of Chemistry and Environment, Yunnan Minzu University, Kunming, 650500, Yunnan, People's Republic of China.
Shixing WangFaculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Ping NingFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China. ningping058@126.com.ORCID http://orcid.org/0000-0002-5288-7710

Funding

Natural Science Foundation of Yunnan Province 2019FA022
6 · The paper itself

Abstract

Pollution generated by heavy metals has become a global environmental issue with much public concern. Herein, a functionalized chitosan-based adsorbent (CS-PAR) was synthesized via a simple one-step method for the adsorption of copper ions in solutions. A series of characterization methods have shown that CS-PAR was successfully synthesized. The experimental results showed that the maximum adsorption capacity of CS-PAR for Cu(II) ions was 170.23 mg/g. The adsorption process of Cu(II) on CS-PAR conformed to Langmuir and pseudo second-order models and belonged to a single-layer chemical adsorption process on the surface of a homogeneous medium. The adsorption mechanism of the adsorbent to Cu(II) ions was the complexation between the N-containing functional groups existing on the surface of the adsorbent and Cu(II). These results also showed that the adsorbent was an efficient material for removing heavy metal copper in wastewater and had very important practical significance.

Indexed as

ChitosanWater Pollutants, ChemicalWater PurificationAdsorptionCopperHydrogen-Ion ConcentrationKineticsChitosanCopperWater Pollutants, ChemicalAdsorptionChitosanCopperMechanism

Identifiers

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.