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Abstract
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.
Assembling nanoparticles into precise architectures by controlling their positions in three-dimensional space is a major challenge in nanoscience. Here, the authors construct complex, preprogrammed clusters of DNA-encoded nanoparticles by coordinating them onto a DNA mesh wireframe.
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1 Xi’an Jiaotong University Health Science Center, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an, China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243); Brookhaven National Laboratory, Center for Functional Nanomaterials, Upton, USA (GRID:grid.202665.5) (ISNI:0000 0001 2188 4229)
2 Brookhaven National Laboratory, Center for Functional Nanomaterials, Upton, USA (GRID:grid.202665.5) (ISNI:0000 0001 2188 4229)
3 Brookhaven National Laboratory, Center for Functional Nanomaterials, Upton, USA (GRID:grid.202665.5) (ISNI:0000 0001 2188 4229); Columbia University, Department of Chemical Engineering and Department of Applied Physics and Applied Mathematics, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729)