Evidence map›Paper›PMID 39366227›Full record

ArticleJournal of environmental management2024

Comparison of liquid and filter sampling techniques for recovery of Bacillus spores and Escherichia coli from environmental water.

Ahmed Abdel-Hady, Mariela Monge, Denise Aslett, Anne Mikelonis, Abderrahmane Touati, Katherine Ratliff

Abstract read
In one paragraph

Article in Journal of environmental management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Persistence in time: the hunt forApplied and environmental microbiology · 2025
    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

6 authors.

Ahmed Abdel-HadyJacobs Technology Inc., Research Triangle Park, NC, USA.
Mariela MongeConsolidated Safety Services, Inc., Research Triangle Park, NC, USA.
Denise AslettJacobs Technology Inc., Research Triangle Park, NC, USA.
Anne MikelonisCenter for Environmental Solutions and Emergency Response, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Abderrahmane TouatiJacobs Technology Inc., Research Triangle Park, NC, USA.
Katherine RatliffCenter for Environmental Solutions and Emergency Response, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA. Electronic address: Ratliff.Katherine@epa.gov.

Funding

EPA 68HERC20D0018Intramural EPA EPA999999
6 · The paper itself

Abstract

Historically, detecting water contamination has involved collecting and directly analyzing liquid samples, but recent advances in filter sampling methods offer numerous potential advantages. Emerging technologies, including environmental DNA (eDNA) samplers, could be used for remote microbial contamination sampling, but work is needed to determine if target microorganisms can be recovered from filters at comparable levels to traditional sampling methods. In this study, Escherichia coli and a surrogate for Bacillus anthracis spores were sampled from synthetic stormwater and quantified using both direct liquid and filter methods, and dwell time tests compared microorganism persistence in water and on filters. At nearly all tested timepoints, the recoveries of spores from membrane filters were within 0.5 log

Indexed as

Escherichia coliFiltrationSpores, BacterialEnvironmental MonitoringWater MicrobiologyBacillus anthracisBacillus atrophaeus var. globigiieDNAEscherichia coliFilter sampling

Identifiers

PMID39366227
PMCPMC11836889

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.