ArticleScientific reports2026
Experimental and theoretical evaluation of geometry-dependent doxorubicin loading onto cerium oxide nanoparticles via van der Waals interaction modeling.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
We employed a combined experimental and analytical approach to investigate the influence of nanoparticle geometry on the loading efficiency of doxorubicin (DOX) onto [Formula: see text] nanoparticles. Experimentally, three distinct [Formula: see text] shapes, spherical, sheet, and cylindrical, were synthesized, characterized, and their respective DOX loading efficiencies were measured. Concurrently, analytical mathematical models were developed to calculate the van der Waals (vdW) interaction energy between a spherical DOX molecule and each nanoparticle geometry, considering both theoretical loading and surface adsorption scenarios. The model successfully predicted the relative thermodynamic stability by yielding high and similar binding energies for the spherical and sheet geometries, which aligned well with their high experimental loading efficiencies. However, a significant quantitative discrepancy arose with the cylindrical shape, where the predicted binding energy did not correspond to the high experimental loading efficiency. This divergence powerfully demonstrates that a simple vacuum-based vdW model is fundamentally insufficient to fully capture the complexity of the drug-nanoparticle interaction. Despite this limitation, the synergy between experimental validation and theoretical modeling provides a critical framework for understanding the geometric dependence of drug-nanoparticle interactions and guides future model refinement toward incorporating the complexity of the nano-bio interface.
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Registered trials
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