ArticleACS pharmacology & translational science2025
Mechanistic Modeling of Size and Surface Charge Changes of Gold and Silver Nanoparticles during In Vitro Nanoparticle Protein Corona Formation.
Article in ACS pharmacology & translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- A berberine-functionalized green silver nanoplatform for combined chemo-photodynamic therapy against breast cancer cells.Nanoscale advances · 2026Article
- Fluorescent Biofunctionalized Silver and Gold Nanoparticles: Bright Tools for Bioimaging Applications.ACS omega · 2026Article
- A Green Self-Assembled Nanoplatform of 10-Hydroxycamptothecin andPharmaceutics · 2026Article
- Challenging Traditional ADME Assumptions for Physiologically Based Pharmacokinetic Models for Intravenous Administration of Iron-Carbohydrate Nanomedicines: Potential Utility of Gold Nanoparticle Models as a Roadmap.Clinical pharmacokinetics · 2025Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The formation of protein corona around nanoparticles fundamentally alters their physicochemical properties and biological identity, yet quantitative predictive models for this complex process remain limited. Here, we present novel mechanistic models that predict the temporal evolution of both hydrodynamic size and ζ-potential during nanoparticle-protein corona formation for gold (AuNPs) and silver nanoparticles (AgNPs) interacting with human serum albumin (HSA) and bovine serum albumin (BSA). Our mathematical framework incorporates protein binding affinities, cooperative effects, and surface saturation phenomena through differential rate equations with experimentally derived parameters. The size evolution models demonstrated excellent predictive capability with
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