Evidence map›Paper›PMID 42576833›Full record

ReviewSustainable microbiology2024

Cold plasma for enhanced water purification.

Jordanne-Amee Maybin, Laura A McClenaghan, Brendan F Gilmore, Thomas P Thompson

Abstract readReview
In one paragraph

Review in Sustainable microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Non-Thermal Plasma-Driven Degradation of Organic Dyes Using CeONanomaterials (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. 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.

Jordanne-Amee MaybinSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, UK.
Laura A McClenaghanSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, UK.
Brendan F GilmoreSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, UK.
Thomas P ThompsonSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, UK.ORCID https://orcid.org/0000-0001-8125-2303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to clean water remains a critical global challenge, with traditional water treatment methods often failing to eliminate complex pollutants such as pharmaceuticals, dyes, and antibiotics. Cold atmospheric plasma technology offers a promising solution by generating reactive oxygen and nitrogen species at room temperature, effectively degrading these contaminants and inactivating pathogens. Recent advancements in cold plasma have shown significant potential in water treatment applications. Cold plasma has demonstrated efficacy in disrupting bacterial biofilms, reducing antibiotic contaminants, and degrading complex organic pollutants, making it an innovative and eco-friendly alternative to conventional methods. This review examines the principles of plasma technology, evaluates its performance in water sanitation, and addresses the challenges of scalability and economic feasibility. By integrating cold plasma into existing water treatment systems and developing standardized protocols, this technology can significantly contribute to sustainable water management and public health, supporting the Sustainable Development Goals.

Indexed as

biofilmcold atmospheric plasmaSustainable Development Goalswater sanitationwater treatment technologies

Identifiers

PMID42576833
PMCPMC13375298

What OpenQuestion holds

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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.