Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 110, Issue 47, Pages 18775-18779Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1315381110
Keywords
nanopolymer; plasmonic properties
Categories
Funding
- National Science Foundation [CHE0911588, DMR-0907515, DMR-1309892, DMR-1121107, DMR-1122483]
- National Institutes of Health [1-P5-HL107168, 1-P01-HL10880801A1]
- Cystic Fibrosis Foundation
- Ontario Trillium Scholarship
- Division Of Materials Research
- Direct For Mathematical & Physical Scien [1309892] Funding Source: National Science Foundation
Ask authors/readers for more resources
A similarity between chemical reactions and self-assembly of nanoparticles offers a strategy that can enrich both the synthetic chemistry and the nanoscience fields. Synthetic methods should enable quantitative control of the structural characteristics of nanoparticle ensembles such as their aggregation number or directionality, whereas the capability to visualize and analyze emerging nanostructures using characterization tools can provide insight into intelligent molecular design and mechanisms of chemical reactions. We explored this twofold concept for an exemplary system including the polymerization of bifunctional nanoparticles in the presence of monofunctional colloidal chain stoppers. Using reaction- specific design rules, we synthesized chain stoppers with controlled reactivity and achieved quantitative fine-tuning of the selfassembled structures. Analysis of the nanostructures provided information about polymerization kinetics, side reactions, and the distribution of all of the species in the reaction system. A quantitative model was developed to account for the reactivity, kinetics, and side reactions of nanoparticles, all governed by the design of colloidal chain stoppers. This work provided the ability to test theoretical models developed for molecular polymerization.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available