Evidence map›Paper›PMID 41003060›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Advances in Magnetic Nanocomposite Adsorbents for Water Remediation: Design, Performance, and Challenges.

Mingyu Yan, Chao Sun, Keying Sun, Derui Chen, Longbin Xu, Shunyu Han, Xinyu Li

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Mingyu YanCollege of Engineering, Materials and Chemical Engineering, Yanbian University, Yanji 133002, China.
Chao SunDepartment of Physics, Jilin University, Changchun 130012, China.ORCID 0000-0001-6994-1317
Keying SunCollege of Engineering, Materials and Chemical Engineering, Yanbian University, Yanji 133002, China.
Derui ChenCollege of Engineering, Materials and Chemical Engineering, Yanbian University, Yanji 133002, China.
Longbin XuDepartment of Chemistry, College of Science, Yanbian University, Yanji 133002, China.
Shunyu HanCollege of Engineering, Materials and Chemical Engineering, Yanbian University, Yanji 133002, China.
Xinyu LiCollege of Engineering, Materials and Chemical Engineering, Yanbian University, Yanji 133002, China.

Funding

Science and Technology Development Program of Jilin Province YDZJ202501ZYTS455Science and Technology Research Project of Jilin Provincial Department of Education JJKH20250411KJYanbian University 602024006
6 · The paper itself

Abstract

Water pollution by heavy metals, dyes, and antibiotics is a serious environmental problem. Efficient and recyclable adsorbents are needed. Magnetic nanocomposite adsorbents (MNAs) offer a promising solution. They combine magnetic nanoparticles with various carriers. This gives them high adsorption capacity and easy magnetic separation. This review covers recent progress in MNAs. We focus on three carrier types: carbon-based materials, inorganic minerals, and natural polymers. We analyze common synthesis methods like co-precipitation and hydrothermal synthesis. The synergy between components enhances pollutant removal, however, challenges remain. These include poor selectivity in mixed pollutants and difficult large-scale production. Stability during reuse is also a concern. Future work should aim for greener synthesis and better stability. This review provides useful insights for designing high-performance MNAs for water treatment.

Indexed as

adsorptioncompositesmagneticnanomaterialsrecoverywastewater

Identifiers

PMID41003060
PMCPMC12472344

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.