Evidence map›Paper›PMID 30112155›Full record

ArticleIranian journal of microbiology2018

Antibacterial effects of microbial synthesized silver-copper nanoalloys on

Sheida Mohammadi, Nima Hosseini Jazani, Mehri Kouhkan, Leila Ashrafi Babaganjeh

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Bioinspired Ag/CeOScientific reports · 2026
    Article
  3. Synergistic antibacterial mechanism of silver-copper bimetallic nanoparticles.Frontiers in bioengineering and biotechnology · 2023
    Review
  4. 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

4 authors at 2 institutions in 1 country.

Sheida MohammadiStudents, Research Committee, Urmia University of Medical Sciences, Urmia, Iran.
Nima Hosseini JazaniDepartment of Microbiology, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Mehri KouhkanFaculty of Pharmacology, Urmia University of Medical Sciences, Urmia, Iran.
Leila Ashrafi BabaganjehFaculty of Pharmacology, Urmia University of Medical Sciences, Urmia, Iran.
Urmia University · IRUrmia University of Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesBacterial resistance is an emerging public health problem worldwide. Metallic nanoparticles and nanoalloys open a promising field due to their excellent antimicrobial effects. The aim of the present study was to investigate the antibacterial effects of Ag-Cu nanoalloys, which were biosynthesized by MATERIALS AND

methodsAg-Cu nanoalloys were synthesized through the microbial reduction of AgNO

resultsPresence of different chemical functional groups, including N-H, C-H, C-N and C-O on the surface of Ag-Cu nanoalloys was recorded by FTIR. FESEM micrographs revealed uniformly distributed nanoparticles with spherical shape and size ranging from 50 to 100 nm. The synthesized Ag-Cu nanoalloys showed antibacterial activity against

conclusionAccording to the findings of the present research, the microbially synthesized Ag-Cu nanoalloy demonstrated antibacterial effects on the majority of the bacteria studied even at 0.01 μg/μL. However, complementary investigations should be conducted into the safety of this nanoalloy for

Indexed as

Ag-Cu nanoalloyBrucella abortusBurkholderia cepaciaEscherichia coliListeria monocytogenes

Identifiers

PMID30112155
PMCPMC6087701
OpenAlexW2884561500

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.