ArticleVeterinary sciences2021
A Biological Study of Anisotropic Silver Nanoparticles and Their Antimicrobial Application for Topical Use.
Article in Veterinary sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
- Biogenic vs. Chemical AgNPs: A Comparison of Antimicrobial Potency and Stability.International journal of molecular sciences · 2025Article
- Synergistic Antibacterial Effect of Eugenol and Biogenic Silver Nanoparticles onMolecules (Basel, Switzerland) · 2025Article
- Methicillin-resistant Staphylococcus pseudintermedius: epidemiological changes, antibiotic resistance, and alternative therapeutic strategies.Veterinary research communications · 2024Review
- Surface Charge-Modulated Toxicity of Cysteine-Stabilized Silver Nanoparticles.Molecules (Basel, Switzerland) · 2024Article
- Antimicrobial Strategies Proposed for the Treatment ofVeterinary sciences · 2024Review
- Antibacterial and antibiofilm activities of zingerone and niosomal zingerone against methicillin-resistantIranian journal of microbiology · 2024Article
- Biosynthesis and characterization of silver nanoparticles from Punica granatum (pomegranate) peel waste and its application to inhibit foodborne pathogens.Scientific reports · 2023Article
- Colloidal Silver Nanoparticles Obtained via Radiolysis: Synthesis Optimization and Antibacterial Properties.Pharmaceutics · 2023Article
- Antimicrobial Use and Resistance in Animals from a One Health Perspective.Veterinary sciences · 2023Article
- Green synthesis of silver nanoparticles usingPeerJ · 2023Article
- Light-Emitting-Diode-Assisted, Fungal-Pigment-Mediated Biosynthesis of Silver Nanoparticles and Their Antibacterial Activity.Polymers · 2022Article
- Andrographolide stabilized-silver nanoparticles overcome ceftazidime-resistant Burkholderia pseudomallei: study of antimicrobial activity and mode of action.Scientific reports · 2022Article
- Anisotropic Silver Nanoparticles Gel Exhibits Antibacterial Action and Reduced Scar Formation on Wounds Contaminated with Methicillin-ResistantAnimals : an open access journal from MDPI · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
The excessive use of antibiotics in both human and veterinary medicine has contributed to the development and rapid spread of drug resistance in bacteria. Silver nanoparticles (AgNPs) have become a tool of choice that can be used to treat these resistant bacteria. Several studies have shown that AgNPs have antibacterial and wound healing properties. In this study, we evaluated the biological activity of anisotropic AgNPs to develop an antimicrobial gel formulation for treating wound infections. We showed that some anisotropic AgNPs (S2) have an effective antibacterial activity against bacterial pathogens and low cytotoxicity to keratinocytes and fibroblasts
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Registered trials
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.