Evidence map›Paper›PMID 41171330›Full record

ArticleBulletin of experimental biology and medicine2025

Characterization of the New Bacteriophage Ec1-7 and Its Antibacterial Efficacy in Decontamination of Food Products and Stainless-Steel Surfaces.

E R Zulkarneev, I A Kiseleva, A I Laishevtsev, N V Pimenov, D S Tarasochkina, D V Karpeeva, O V Rubal'sky

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Article in Bulletin of experimental biology and medicine, 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

7 authors.

E R ZulkarneevMoscow State Academy of Veterinary Medicine and Biotechnology Named after K. I. Skryabin, Moscow, Russia. elzz89@mail.ru.
I A KiselevaGabrichevsky Institute of Epidemiology and Microbiology, Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, Moscow, Russia.
A I LaishevtsevFederal Scientific Centre VIEV, Russian Academy of Sciences, Moscow, Russia.
N V PimenovMoscow State Academy of Veterinary Medicine and Biotechnology Named after K. I. Skryabin, Moscow, Russia.
D S TarasochkinaAstrakhan State Medical University, Ministry of Health of the Russian Federation, Astrakhan, Russia.
D V KarpeevaAstrakhan State Medical University, Ministry of Health of the Russian Federation, Astrakhan, Russia.
O V Rubal'skyAstrakhan State Medical University, Ministry of Health of the Russian Federation, Astrakhan, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia phage Ec1-7 was characterized and its efficacy on food products, as well as on stainless-steel surfaces, was evaluated. The bacteriophage with high adsorption rate and short latency period remained stable when exposed to various aggressive factors and demonstrated lytic activity against STEC strains. In addition, the phage did not contain antibiotic resistance, virulence, and toxin genes. In 24 h after application of the bacteriophage, E. coli concentration on lettuce leaves and on stainless-steel surfaces decreased by 98.2 and 90.5%, respectively. In the experiment with artificially contaminated beef, an 81% decrease in bacterial concentration was recorded on day 3 in comparison with the control samples treated with 0.9% NaCl solution. The bacteriophage Ec1-7 exhibited stability and efficacy as a biocontrol agent across diverse test materials.

Indexed as

BacteriophagesColiphagesDecontaminationFood MicrobiologyStainless SteelAnimalsAnti-Bacterial AgentsCattleEscherichia coliEscherichia coli O157LactucaAnti-Bacterial AgentsStainless Steelbacteriophagebiocontrolfoodborne infectionsfood safetySTEC

Identifiers

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Registered trials

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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.