Evidence map›Paper›PMID 41635710›Full record

ArticleNPJ emerging contaminants2026

A community-guided approach to monitoring contaminants of emerging concern in freshwater systems using passive samplers.

Alexandra K Richardson, Stav Friedman, Leon P Barron

Abstract read
In one paragraph

Article in NPJ emerging contaminants, 2026. 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

3 authors.

Alexandra K RichardsonMRC Centre for Environment & Health, Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Stav FriedmanMRC Centre for Environment & Health, Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Leon P BarronMRC Centre for Environment & Health, Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical pollution in the aquatic environment is a global issue, representing a threat to human and environmental health, especially for unregulated contaminants of emerging concern (CECs). Identifying and prioritising pollution sources requires high spatio-temporal resolution data and strategic site selection; here, local knowledge provides valuable insight. This study evaluated a community-guided approach for monitoring CECs in freshwater systems using a miniaturised 3D-printed passive sampler device (3D-PSD). Seventeen citizen scientists from Sheffield, Norwich, and London (England) selected sites along their local rivers and were trained to deploy 3D-PSDs and collect water samples. A total of 51 CECs were quantified in the water and passive sampler extracts, with ketamine, lidocaine, tramadol, and venlafaxine occurring in over 50% of samples. All compounds were present below the medium-risk threshold. Results were shared via an online meeting and a public-facing report. Participants highlighted the importance of rivers and other blue-green spaces in their daily lives and reported spending up to four hours at their local rivers per visit. They identified key areas for improving the field deployment procedure and the data collection system. This work demonstrates the applicability of the 3D-PSD to large-scale citizen science and other community engagement projects for freshwater monitoring.

Indexed as

EcologyEnvironmental sciencesHydrology

Identifiers

PMID41635710
PMCPMC12863633

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.