Evidence map›Paper›PMID 40292673›Full record

ReviewPolymers2025

Design and Application of Antifouling Bio-Coatings.

Jinglin Wang, Ling Li, Yage Wu, Yongchun Liu

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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.

Jinglin WangKey Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, China.
Ling LiKey Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, China.
Yage WuKey Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, China.
Yongchun LiuKey Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0001-9212-8439

Funding

National Natural Science Foundation of China 52473014
6 · The paper itself

Abstract

Antifouling coatings stand out as one of the highly efficient ways to mitigate surface contamination. Traditional antifouling coatings have a major drawback: they rely on highly toxic and environmentally hazardous compounds. These substances not only lead to ecological harm but also disrupt the natural equilibrium of ecosystems. Consequently, in recent years, eco-friendly antifouling bio-coatings have emerged. This review focuses on the mechanisms and processes underlying contaminant adhesion, laying a solid foundation for grasping the principles of antifouling coating design. It further elaborates on the general strategies for developing bio-based antifouling solutions, highlighting their potential across a wide array of applications. Finally, this review carefully analyzes the current challenges confronted by antifouling bio-coatings and puts forward future development directions. Through a comprehensive overview, we aim to expand the influence of bio-based antifouling technologies, promote the further application of bio-based antifouling coatings in marine antifouling and medical antifouling fields, and provide examples for the establishment of environmental protection policies.

Indexed as

antifoulingbio-coatingbiopolymer

Identifiers

PMID40292673
PMCPMC11945268

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.