Evidence map›Paper›PMID 35956672›Full record

ArticlePolymers2022

Development of Adsorptive Membranes for Selective Removal of Contaminants in Water.

Priyalatha M Kirisenage, Syed M Zulqarnain, Jordan L Myers, Bradley D Fahlman, Anja Mueller, Itzel Marquez

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. 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
1.3field-weighted citation impact, top 22% of its field
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, 12 citations in OpenAlex.

  1. Molecularly imprinted polymer for the removal of nutrients from water: synthesis, application, performance and limitation.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    Review
  2. Review
  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

6 authors at 1 institution in 1 country.

Priyalatha M KirisenageDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI 48859, USA.ORCID 0000-0002-5052-6700
Syed M ZulqarnainSchool of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USA.
Jordan L MyersDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI 48859, USA.
Bradley D FahlmanDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI 48859, USA.
Anja MuellerDepartment of Chemistry and Biochemistry, Central Michigan University, Mount Pleasant, MI 48859, USA.ORCID 0000-0002-4762-6735
Itzel MarquezSchool of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USA.ORCID 0000-0003-2082-1386
Central Michigan University · US

Funding

Central Michigan University start up to IM
6 · The paper itself

Abstract

The presence of arsenic and ammonia in ground and surface waters has resulted in severe adverse effects to human health and the environment. Removal technologies for these contaminants include adsorption and membrane processes. However, materials with high selectivity and pressure stability still need to be developed. In this work, adsorbents and adsorptive membranes were prepared using nanostructured graphitic carbon nitride decorated with molecularly imprinted acrylate polymers templated for arsenate and ammonia. The developed adsorbent removed arsenate at a capacity and selectivity similar to commercial ion-exchange resins. Ammonia was removed at higher capacity than commercial ion exchange resins, but the adsorbent showed lower selectivity. Additionally, the prepared membranes removed more arsenate and ammonia than non-imprinted controls, even in competition with abundant ions in water. Further optimization is required to improve pressure stability and selectivity.

Indexed as

adsorbentsadsorptive membranesammoniaarsenategraphitic carbon nitrideimprinting polymerizationwater treatment

Identifiers

PMID35956672
PMCPMC9371136
OpenAlexW4289524409

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.