In:
Science, American Association for the Advancement of Science (AAAS), Vol. 329, No. 5988 ( 2010-07-09), p. 197-200
Kurzfassung:
Self-organization of nanoparticles is an efficient strategy for producing nanostructures with complex, hierarchical architectures. The past decade has witnessed great progress in nanoparticle self-assembly, yet the quantitative prediction of the architecture of nanoparticle ensembles and of the kinetics of their formation remains a challenge. We report on the marked similarity between the self-assembly of metal nanoparticles and reaction-controlled step-growth polymerization. The nanoparticles act as multifunctional monomer units, which form reversible, noncovalent bonds at specific bond angles and organize themselves into a colloidal polymer. We show that the kinetics and statistics of step-growth polymerization enable a quantitative prediction of the architecture of linear, branched, and cyclic self-assembled nanostructures; their aggregation numbers and size distribution; and the formation of structural isomers.
Materialart:
Online-Ressource
ISSN:
0036-8075
,
1095-9203
DOI:
10.1126/science.1189457
Sprache:
Englisch
Verlag:
American Association for the Advancement of Science (AAAS)
Publikationsdatum:
2010
ZDB Id:
128410-1
ZDB Id:
2066996-3
ZDB Id:
2060783-0
SSG:
11
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