Evidence map›Paper›PMID 41413695›Full record

ArticleEnvironmental science and pollution research international2025

Marimo for monitoring and filtering of aquatic environments.

Neil Phillips, Thomas C Draper, Andrew P Geary, Kathryn Lamb-Riddell, Darren M Reynolds, Joshua A C Steven, Freya Radford, Abdul R Farooq, Andrew Adamatzky

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Neil PhillipsUnconventional Computing Laboratory, University of the West of England, Bristol, UK. neil.phillips@uwe.ac.uk.ORCID http://orcid.org/0000-0002-7878-0196
Thomas C DraperUnconventional Computing Laboratory, University of the West of England, Bristol, UK.
Andrew P GearySchool of Architecture and Environment, University of the West of England, Bristol, UK.
Kathryn Lamb-RiddellInstitute of Bio-Sensing Technology, University of the West of England, Bristol, UK.
Darren M ReynoldsInstitute of Bio-Sensing Technology, University of the West of England, Bristol, UK.
Joshua A C StevenCentre for Research in Biosciences, University of the West of England, Bristol, UK.
Freya RadfordSchool of Applied Sciences, University of the West of England, Bristol, UK.
Abdul R FarooqCentre for Machine Vision, University of the West of England, Bristol, UK.
Andrew AdamatzkyUnconventional Computing Laboratory, University of the West of England, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aegagropila linnaei (commonly known as "Marimo") forms dense spheres of intertwined algae filaments capable of capturing and retaining a wide range of particles and microorganisms (up to 2 mm in length) from freshwater environments. This study explores the potential of Marimo as a sustainable tool for environmental monitoring and water filtration. We present a novel, non-destructive method for extracting entrapped materials (including microplastics, sediments, and indicator species) and evaluate various analytical techniques for characterising the extracted content. A prototype Marimo-based filtration system was developed, demonstrating significant reductions in microbial contaminants within a recirculating water system. These findings highlight the advantages of using Marimo as a low-cost, eco-friendly solution for long-term aquatic ecosystem monitoring and remediation.

Indexed as

Environmental MonitoringFiltrationEcosystemFresh WaterBioengineeringBiological repositoryBiomimicryDiatoms

Identifiers

PMID41413695
PMCPMC12804339

What OpenQuestion holds

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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.