ArticleiScience2022
When function is biological: Discerning how silver nanoparticle structure dictates antimicrobial activity.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 19 citations in OpenAlex.
- Understanding and Exploiting Biological Mechanisms of Radiosensitization Using High Atomic Mass Nanomaterials.Nanomaterials (Basel, Switzerland) · 2026Review
- Silver integrated hybrids and nanocomposites for next-generation biomedicine: Beyond antimicrobial coatings toward smart sense-response-heal platforms.Materials today. Bio · 2025Review
- Advances in Antimicrobial Applications of Ag, Cu, and AgCu Nanoparticle-Doped Polymeric Composite Materials: A Comprehensive Review.ACS nano · 2025Review
- Silver Nanocube Epitaxy via Nanogap-Induced Electrostatics.Small methods · 2025Article
- Nanomaterial-mediated antibiotic delivery: a novel strategy for osteomyelitis therapy.Frontiers in bioengineering and biotechnology · 2025Review
- Multiplexed immunolabelling of cancer using bioconjugated plasmonic gold-silver alloy nanoparticles.Nanoscale advances · 2024Article
- Article
- Does Nanosilver Exposure Modulate Steroid Metabolism in the Testes?-A Possible Role of Redox Balance Disruption.Biomedicines · 2023Article
- Mitigation of SARS-CoV-2 by Using Transition Metal Nanozeolites and Quaternary Ammonium Compounds as Antiviral Agents in Suspensions and Soft Fabric Materials.International journal of nanomedicine · 2023Article
- In Vitro Influence of ZnO, CrZnO, RuZnO, and BaZnO Nanomaterials on Bacterial Growth.Molecules (Basel, Switzerland) · 2022Article
- Untargeted Metabolomic Approach ofAntioxidants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Silver nanomaterials have potent antibacterial properties that are the foundation for their wide commercial use as well as for concerns about their unintended environmental impact. The nanoparticles themselves are relatively biologically inert but they can undergo oxidative dissolution yielding toxic silver ions. A quantitative relationship between silver material structure and dissolution, and thus antimicrobial activity, has yet to be established. Here, this dissolution process and associated biological activity is characterized using uniform nanoparticles with variable dimension, shape, and surface chemistry. From this, a phenomenological model emerges that quantitatively relates material structure to both silver dissolution and microbial toxicity. Shape has the most profound influence on antibacterial activity, and surprisingly, surface coatings the least. These results illustrate how material structure may be optimized for antimicrobial properties and suggest strategies for minimizing silver nanoparticle effects on microbes.
Indexed as
Identifiers
What OpenQuestion holds
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.