Evidence map›Paper›PMID 42310237›Full record

ArticleDiscover nano2026

Biosynthesis of silver nanoparticles using Musca domestica extract as a novel bioresource for therapeutic evaluation.

Mariyam Shafiq, Saiqa Tabassum

Abstract read
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Mariyam ShafiqDepartment of Biosciences, Faculty of Life Sciences, SZABIST University, Karachi, 75600, Pakistan.
Saiqa TabassumDepartment of Biosciences, Faculty of Life Sciences, SZABIST University, Karachi, 75600, Pakistan. Saiqa-tabassum@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreen synthesis of silver nanoparticles (Ag-NPs) using biological resources offers a sustainable alternative to conventional chemical methods. While plants and microbes are commonly employed, insect-derived biomaterials remain largely unexplored. This study investigates Musca domestica L. (houseflies) extract as a novel bioresource for rapid, chemical-free biosynthesis of Ag-NPs, transforming an underutilized organism into a value-added scientific resource. METHODS AND

resultsAg-NP formation was initially indicated by a visible color change and confirmed via UV-Vis spectroscopy, revealing a surface plasmon resonance peak at 475 nm. SEM analysis showed predominantly spherical nanoparticles with an average size of 76 ± 6 nm, while XRD confirmed a face-centered cubic crystalline structure with a crystallite size of 9.72 nm. FTIR analysis identified functional groups associated with proteins, phenolics, and other biomolecules, supporting nanoparticle formation and stabilization. Dynamic light scattering indicated a hydrodynamic size of 258.5 nm (PDI = 0.371), and zeta potential (- 7.98 mV) suggested moderate colloidal stability. In vitro assays demonstrated that the Ag-NPs exhibited notable anti-inflammatory (21.73%), anti-diabetic (36.76%), and antioxidant activity (DPPH: 78.5%; H

conclusionThis study establishes Musca domestica L. extract as an effective, eco-friendly bioresource for rapid green synthesis of Ag-NPs. The enhanced bioactivity of the biogenic nanoparticles underscores the importance of nanoparticle formulation in therapeutic applications. Future investigations focusing on dose-response, mechanistic insights, and cytotoxicity evaluations are warranted to fully realize their biomedical potential.

Indexed as

Eco-friendlyGreen synthesisHouseflyMusca domesticaSilver nanoparticlesTherapeutic potential

Identifiers

PMID42310237
PMCPMC13275973

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.