Self-organized architectures from assorted DNA-framed nanoparticles
Abstract
The science of self-assembly has undergone a radical shift from asking questions about why individual components self-organize into ordered structures, to manipulating the resultant order. However, the quest for far-reaching nanomanufacturing requires addressing an even more challenging question: how to form nanoparticle (NP) structures with designed architectures without explicitly prescribing particle positions. Here we report an assembly concept in which building instructions are embedded into NPs via DNA frames. The integration of NPs and DNA origami frames enables the fabrication of NPs with designed anisotropic and selective interactions. Using a pre-defined set of different DNA-framed NPs, we show it is possible to design diverse planar architectures, which include periodic structures and shaped meso-objects that spontaneously emerge on mixing of the different topological types of NP. Even objects of non-trivial shapes, such as a nanoscale model of Leonardo da Vinci's Vitruvian Man, can be self-assembled successfully.
- Authors:
-
- Brookhaven National Lab. (BNL), Upton, NY (United States). Center for Functional Nanomaterials (CFN)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States). Center for Functional Nanomaterials (CFN)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1361235
- Report Number(s):
- BNL-113492-2017-JA
Journal ID: ISSN 1755-4330; KC0403020
- Grant/Contract Number:
- SC0012704; AC02-98CH10886
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Chemistry
- Additional Journal Information:
- Journal Volume: 8; Journal Issue: 9; Journal ID: ISSN 1755-4330
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 77 NANOSCIENCE AND NANOTECHNOLOGY; Nanoparticles; Organizing materials with DNA; Self-assembly; Center for Functional Nanomaterials
Citation Formats
Liu, Wenyan, Halverson, Jonathan, Tian, Ye, Tkachenko, Alexei V., and Gang, Oleg. Self-organized architectures from assorted DNA-framed nanoparticles. United States: N. p., 2016.
Web. doi:10.1038/NCHEM.2540.
Liu, Wenyan, Halverson, Jonathan, Tian, Ye, Tkachenko, Alexei V., & Gang, Oleg. Self-organized architectures from assorted DNA-framed nanoparticles. United States. https://doi.org/10.1038/NCHEM.2540
Liu, Wenyan, Halverson, Jonathan, Tian, Ye, Tkachenko, Alexei V., and Gang, Oleg. Mon .
"Self-organized architectures from assorted DNA-framed nanoparticles". United States. https://doi.org/10.1038/NCHEM.2540. https://www.osti.gov/servlets/purl/1361235.
@article{osti_1361235,
title = {Self-organized architectures from assorted DNA-framed nanoparticles},
author = {Liu, Wenyan and Halverson, Jonathan and Tian, Ye and Tkachenko, Alexei V. and Gang, Oleg},
abstractNote = {The science of self-assembly has undergone a radical shift from asking questions about why individual components self-organize into ordered structures, to manipulating the resultant order. However, the quest for far-reaching nanomanufacturing requires addressing an even more challenging question: how to form nanoparticle (NP) structures with designed architectures without explicitly prescribing particle positions. Here we report an assembly concept in which building instructions are embedded into NPs via DNA frames. The integration of NPs and DNA origami frames enables the fabrication of NPs with designed anisotropic and selective interactions. Using a pre-defined set of different DNA-framed NPs, we show it is possible to design diverse planar architectures, which include periodic structures and shaped meso-objects that spontaneously emerge on mixing of the different topological types of NP. Even objects of non-trivial shapes, such as a nanoscale model of Leonardo da Vinci's Vitruvian Man, can be self-assembled successfully.},
doi = {10.1038/NCHEM.2540},
journal = {Nature Chemistry},
number = 9,
volume = 8,
place = {United States},
year = {Mon Jun 13 00:00:00 EDT 2016},
month = {Mon Jun 13 00:00:00 EDT 2016}
}
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