Evidence map›Paper›PMID 34683330›Full record

ArticleMicroorganisms2021

Zero-Valent Iron Filtration Reduces Microbial Contaminants in Irrigation Water and Transfer to Raw Agricultural Commodities.

Brienna L Anderson-Coughlin, Pushpinder K Litt, Seongyun Kim, Shani Craighead, Alyssa J Kelly, Pei Chiu, Manan Sharma, Kalmia E Kniel

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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, 13 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Brienna L Anderson-CoughlinDepartment of Animal and Food Science, University of Delaware, Newark, DE 19716, USA.
Pushpinder K LittDepartment of Animal and Food Science, University of Delaware, Newark, DE 19716, USA.
Seongyun KimBeltsville Agricultural Research Center, Environmental Microbiology and Food Safety Laboratory, United States Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville, MD 20705, USA.ORCID 0000-0002-0196-5037
Shani CraigheadDepartment of Animal and Food Science, University of Delaware, Newark, DE 19716, USA.
Alyssa J KellyDepartment of Animal and Food Science, University of Delaware, Newark, DE 19716, USA.
Pei ChiuDepartment of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, USA.
Manan SharmaBeltsville Agricultural Research Center, Environmental Microbiology and Food Safety Laboratory, United States Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville, MD 20705, USA.ORCID 0000-0002-8585-0308
Kalmia E KnielDepartment of Animal and Food Science, University of Delaware, Newark, DE 19716, USA.
University of Delaware · USUnited States Department of Agriculture · US

Funding

National Institute of Food and Agriculture 2016-68007-25064
6 · The paper itself

Abstract

Groundwater depletion is a critical agricultural irrigation issue, which can be mitigated by supplementation with water of higher microbiological risk, including surface and reclaimed waters, to support irrigation needs in the United States. Zero-valent iron (ZVI) filtration may be an affordable and effective treatment for reducing pathogen contamination during crop irrigation. This study was performed to determine the effects of ZVI filtration on the removal and persistence of

Indexed as

contaminationEscherichia coliirrigation watermicrobiological indicatorsPMMoVwater treatmentzero-valent iron

Identifiers

PMID34683330
PMCPMC8541138
OpenAlexW3199909400

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.