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Programming nanoparticle valence bonds with single-stranded DNA encoders. | LitMetric

Programming nanoparticle valence bonds with single-stranded DNA encoders.

Nat Mater

Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Published: July 2020

AI Article Synopsis

  • Nature uses biopolymers to program molecular interactions effectively, but synthetic methods often involve multiple polymer chains.
  • The study introduces a method for creating programmable atom-like nanoparticles (PANs) using single-stranded DNA encoders that have varying lengths and sequences of polyadenine domains.
  • PANs enable the assembly of diverse colloidal molecules and allow for dynamic reactions, structural changes, and even the execution of Boolean logic, potentially leading to innovative functional materials for various technologies.

Article Abstract

Nature has evolved strategies to encode information within a single biopolymer to program biomolecular interactions with characteristic stoichiometry, orthogonality and reconfigurability. Nevertheless, synthetic approaches for programming molecular reactions or assembly generally rely on the use of multiple polymer chains (for example, patchy particles). Here we demonstrate a method for patterning colloidal gold nanoparticles with valence bond analogues using single-stranded DNA encoders containing polyadenine (polyA). By programming the order, length and sequence of each encoder with alternating polyA/non-polyA domains, we synthesize programmable atom-like nanoparticles (PANs) with n-valence that can be used to assemble a spectrum of low-coordination colloidal molecules with different composition, size, chirality and linearity. Moreover, by exploiting the reconfigurability of PANs, we demonstrate dynamic colloidal bond-breaking and bond-formation reactions, structural rearrangement and even the implementation of Boolean logic operations. This approach may be useful for generating responsive functional materials for distinct technological applications.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41563-019-0549-3DOI Listing

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