Unknown

Dataset Information

Photoacoustics for listening to metal nanoparticle super-aggregates.


ABSTRACT: Photoacoustic signal detection has been used to build a new strategy to determine the mesoscale self-assembly of metal nanoparticles in terms of size distribution and aggregate packing density (metal nanoparticle filling factor). A synergistic approach integrating photoacoustic signal and theoretical studies, validated by conventional light scattering and electron microscopy techniques, allows us to obtain a well-defined morphological interpretation of nanoparticle-based super-aggregates. By pumping light in a complex system, the acousto-thermal effect was listened to, providing information on the aggregation phenomena. Super-aggregates of covalently interconnected silver nanoparticles (AgNPs) functionalized with an organometallic dithiol are identified in solution, as a proof of concept f

SUBMITTER: Li Voti R 

PROVIDER: S-EPMC9417617 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature