Evidence map›Paper›PMID 40242344›Full record

ArticleACS ES&T water2025

Assessing Passive Sampling for the Monitoring of

Ilya Law, Erin Becker, Brandon S Spoja, Katrina Kobal, Martha Yiridoe, Abdul Alashraf, Beth L Parker, David T McCarthy, Heather M Murphy

Abstract read
In one paragraph

Article in ACS ES&T water, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ilya LawWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.ORCID https://orcid.org/0009-0006-5575-0409
Erin BeckerWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Brandon S SpojaWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Katrina KobalWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Martha YiridoeWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Abdul AlashrafWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Beth L ParkerMorwick G360 Groundwater Research Institute, College of Engineering and Physical Sciences, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
David T McCarthySchool of Civil and Environmental Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia.ORCID https://orcid.org/0000-0001-8845-6501
Heather M MurphyWater, Health and Applied Microbiology Lab (WHAM Lab), Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada N1G 2W1.ORCID https://orcid.org/0000-0002-0435-8515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passive sampling has shown promise as an alternative approach for monitoring of pathogens in aquatic matrices. We conducted two controlled experiments to compare the efficacy of membrane passive sampling to composite sampling in both wastewater and surface water for the detection of

Identifiers

PMID40242344
PMCPMC11998927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.