Evidence map›Paper›PMID 36066803›Full record

ReviewApplied biochemistry and biotechnology2023

A Selective Review on the Novel Approaches and Potential Control Agents of Anti-biofouling and Anti-biofilming.

Ishani Joardar, Subhasish Dutta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied biochemistry and biotechnology, 2023. 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
–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

3 citing papers in PubMed.

  1. Virus Enhanced Microrobots for Biofilm Eradication.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. "Omics" Techniques Used in Marine Biofouling Studies.International journal of molecular sciences · 2023
    Review
  3. Biology and Regulation of Staphylococcal Biofilm.International journal of molecular sciences · 2023
    Review
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

2 authors.

Ishani JoardarDepartment of Biotechnology, Haldia Institute of Technology (HIT), ICARE Complex, Hatiberia, Haldia, West Bengal, India, 721657.
Subhasish DuttaDepartment of Biotechnology, Haldia Institute of Technology (HIT), ICARE Complex, Hatiberia, Haldia, West Bengal, India, 721657. subhasish.rahul@gmail.com.ORCID http://orcid.org/0000-0003-1510-4825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific aggregates of bacterial colonies, which, when embedded in a self-produced matrix, are known to cause biofouling. These complex structures are highly resistant to extreme stress conditions like antibiotics, complex cleaning strategies, or even the human immune system. The formation of biofilm matrices and biofouling is chosen as the preferred microbial environment owing to the advantages offered for the embedded cells for their long-term survival. This increased resistance and virulence emphasizes the urgency of finding newer alternatives for its complete eradication. Combined approaches using enzymes, biomimetic surface modification, and a fusion of physical and chemical methods are gaining more prominence. In brief, this review discusses the structure and biology of biofilms, their mechanism of action, and the new-age anti-biofilm and biofouling agents in food industries, bioelectric, and medical devices. Current anti-biofouling methods, including engineered polymers, surface coatings to antimicrobials, and antibiotics, have also been described.

Indexed as

Anti-Infective AgentsBiofoulingAnti-Bacterial AgentsBacteriaBiofilmsHumansAnti-Bacterial AgentsAnti-Infective AgentsAnti-biofilmingAnti-biofoulingBiofilmExtracellular polymeric matrixResistance

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.