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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...

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Detalles Bibliográficos
Autores principales: Sun, Sha, Yang, Shize, Xin, Huolin L., Nykypanchuk, Dmytro, Liu, Mingzhao, Zhang, Honghu, Gang, Oleg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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