Evidence map›Paper›PMID 41017857›Full record

ArticleFrontiers in molecular biosciences2025

Eco-friendly production of silver-copper nanoparticles using coconut husk and evaluation of its anti-cancer properties on human breast cancer (MDA-MB-231) cell line.

Atheer M Asiri, Daoud Ali, Nawal M Al-Malahi, Mohammed H A Almarzoug, Bader O Almutairi, Saad Alkahtani, Badr A Aldahmash, Saud Alarifi

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 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. 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.

Atheer M AsiriDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Daoud AliDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Nawal M Al-MalahiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Mohammed H A AlmarzougDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Bader O AlmutairiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Saad AlkahtaniDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Badr A AldahmashDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Saud AlarifiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological processes using green synthesis tool is safe, environmentally friendly, non-toxic, and economical, they are more suited to manufacturing nanoparticles with sizes between 1 and 100 nm than other related techniques. Here, I have used chemical methods to create bimetallic silver copper nanoparticles (Ag@CuNPs) utilizing coconut husk. Before exposure to target cells, the characterization of green silver copper nanoparticles (gAg@CuNPs) was done by UV vis spectrophotometer, scanning electron microscope (SEM), transmission electron microscopy (TEM), DLS. The shape of gAg@CuNPs are spherical and its size is measured 43.50 ± 1.5 nm. The cytotoxic effect of g Ag-Cu NPs on human breast cancer (MDA-MB-231) cells was determined by MTT and NRU tests. The cytotoxicity of gAg@CuNPs increased in a concentration-dependent manner and it showed high cytotoxic effect on MDA-MB-231 cells at the highest concentration of NPs exposure. From the MTT result I determined the median inhibitory concentration (IC

Indexed as

apoptosisgAg@CuNPsMDA-MB-231 cellsMTT assayROS

Identifiers

PMID41017857
PMCPMC12460125

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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.