Binary superlattice design by controlling DNA-mediated interactions
Minseok Song, Yajun Ding, Hasan Zerze, Mark A. Snyder, Jeetain Mittal

TL;DR
This paper introduces a DNA-mediated interaction strategy to design binary superlattices with diverse 2D structures without relying on particle size differences, expanding the possibilities for material design.
Contribution
It presents a novel approach using tailored DNA strands to control interparticle interactions, enabling the creation of various 2D lattice structures independently of particle size.
Findings
Successfully created square, pentagonal, and hexagonal lattices.
Achieved compositional ordering in checkerboard, string, honeycomb, and Kagome patterns.
Demonstrated control over particle arrangement by adjusting mixture stoichiometry.
Abstract
Most binary superlattices created using DNA functionalization or other approaches rely on particle size differences to achieve compositional order and structural diversity. Here we study two-dimensional (2D) assembly of DNA-functionalized micron-sized particles (DFPs), and employ a strategy that leverages the tunable disparity in interparticle interactions, and thus enthalpic driving forces, to open new avenues for design of binary superlattices that do not rely on the ability to tune particle size (i.e., entropic driving forces). Our strategy employs tailored blends of complementary strands of ssDNA to control interparticle interactions between micron-sized silica particles in a binary mixture to create compositionally diverse 2D lattices. We show that the particle arrangement can be further controlled by changing the stoichiometry of the binary mixture in certain cases. With this…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced biosensing and bioanalysis techniques · Legume Nitrogen Fixing Symbiosis · DNA and Biological Computing
