Predicting the size and morphology of nanoparticle clusters driven by biomolecular recognition.
Journal
Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070
Informations de publication
Date de publication:
29 Nov 2023
29 Nov 2023
Historique:
medline:
30
11
2023
pubmed:
2
8
2023
entrez:
2
8
2023
Statut:
epublish
Résumé
Nanoparticle aggregation is a driving principle of innovative materials and biosensing methodologies, improving transduction capabilities displayed by optical, electrical or magnetic measurements. This aggregation can be driven by the biomolecular recognition between target biomolecules (analytes) and receptors bound onto nanoparticle surface. Despite theoretical advances on modelling the entropic interaction in similar systems, predictions of the fractal morphologies of the nanoclusters of bioconjugated nanoparticles are lacking. The morphology of resulting nanoclusters is sensitive to the location, size, flexibility, average number of receptors per particle
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM