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Valence-programmable nanoparticle architectures
Nanoparticle-based clusters permit the harvesting of collective and emergent properties, with applications ranging from optics and sensing to information processing and catalysis. However, existing approaches to create such architectures are typically system-specific, which limits designability and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210924/ https://www.ncbi.nlm.nih.gov/pubmed/32385298 http://dx.doi.org/10.1038/s41467-020-16157-0 |
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author | Sun, Sha Yang, Shize Xin, Huolin L. Nykypanchuk, Dmytro Liu, Mingzhao Zhang, Honghu Gang, Oleg |
author_facet | Sun, Sha Yang, Shize Xin, Huolin L. Nykypanchuk, Dmytro Liu, Mingzhao Zhang, Honghu Gang, Oleg |
author_sort | Sun, Sha |
collection | PubMed |
description | Nanoparticle-based clusters permit the harvesting of collective and emergent properties, with applications ranging from optics and sensing to information processing and catalysis. However, existing approaches to create such architectures are typically system-specific, which limits designability and fabrication. Our work addresses this challenge by demonstrating that cluster architectures can be rationally formed using components with programmable valence. We realize cluster assemblies by employing a three-dimensional (3D) DNA meshframe with high spatial symmetry as a site-programmable scaffold, which can be prescribed with desired valence modes and affinity types. Thus, this meshframe serves as a versatile platform for coordination of nanoparticles into desired cluster architectures. Using the same underlying frame, we show the realization of a variety of preprogrammed designed valence modes, which allows for assembling 3D clusters with complex architectures. The structures of assembled 3D clusters are verified by electron microcopy imaging, cryo-EM tomography and in-situ X-ray scattering methods. We also find a close agreement between structural and optical properties of designed chiral architectures. |
format | Online Article Text |
id | pubmed-7210924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72109242020-05-13 Valence-programmable nanoparticle architectures Sun, Sha Yang, Shize Xin, Huolin L. Nykypanchuk, Dmytro Liu, Mingzhao Zhang, Honghu Gang, Oleg Nat Commun Article Nanoparticle-based clusters permit the harvesting of collective and emergent properties, with applications ranging from optics and sensing to information processing and catalysis. However, existing approaches to create such architectures are typically system-specific, which limits designability and fabrication. Our work addresses this challenge by demonstrating that cluster architectures can be rationally formed using components with programmable valence. We realize cluster assemblies by employing a three-dimensional (3D) DNA meshframe with high spatial symmetry as a site-programmable scaffold, which can be prescribed with desired valence modes and affinity types. Thus, this meshframe serves as a versatile platform for coordination of nanoparticles into desired cluster architectures. Using the same underlying frame, we show the realization of a variety of preprogrammed designed valence modes, which allows for assembling 3D clusters with complex architectures. The structures of assembled 3D clusters are verified by electron microcopy imaging, cryo-EM tomography and in-situ X-ray scattering methods. We also find a close agreement between structural and optical properties of designed chiral architectures. Nature Publishing Group UK 2020-05-08 /pmc/articles/PMC7210924/ /pubmed/32385298 http://dx.doi.org/10.1038/s41467-020-16157-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sun, Sha Yang, Shize Xin, Huolin L. Nykypanchuk, Dmytro Liu, Mingzhao Zhang, Honghu Gang, Oleg Valence-programmable nanoparticle architectures |
title | Valence-programmable nanoparticle architectures |
title_full | Valence-programmable nanoparticle architectures |
title_fullStr | Valence-programmable nanoparticle architectures |
title_full_unstemmed | Valence-programmable nanoparticle architectures |
title_short | Valence-programmable nanoparticle architectures |
title_sort | valence-programmable nanoparticle architectures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210924/ https://www.ncbi.nlm.nih.gov/pubmed/32385298 http://dx.doi.org/10.1038/s41467-020-16157-0 |
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