Issue 21, 2024

Refractive-index and density-matched emulsions with programmable DNA interactions

Abstract

Emulsion droplets on the colloidal length scale are a model system of frictionless compliant spheres. Direct imaging studies of the microscopic structure and dynamics of emulsions offer valuable insights into fundamental processes, such as gelation, jamming, and self-assembly. A microscope, however, can only resolve the individual droplets in a densely packed emulsion if the droplets are closely index-matched to their fluid medium. Mitigating perturbations due to gravity additionally requires the droplets to be density-matched to the medium. Creating droplets that are simultaneously index-matched and density-matched has been a long-standing challenge for the soft-matter community. The present study introduces a method for synthesizing monodisperse micrometer-sized siloxane droplets whose density and refractive index can be precisely and independently tuned by adjusting the volume fraction of three silane precursors. A systematic optimization protocol yields fluorescently labeled ternary droplets whose densities and refractive indexes match, to the fourth decimal place, those of aqueous solutions of glycerol or dimethylsiloxane. Because all of the materials in this system are biocompatible, we functionalize the droplets with DNA strands to endow them with programmed inter-droplet interactions. Confocal microscopy then reveals both the three-dimensional structure and the network of droplet–droplet contacts in a class of self-assembled droplet gels, free from gravitational effects. This experimental toolbox creates opportunities for studying the microscopic mechanisms that govern viscoelastic properties and self-assembly in soft materials.

Graphical abstract: Refractive-index and density-matched emulsions with programmable DNA interactions

Article information

Article type
Paper
Submitted
09 Jan 2024
Accepted
12 Mar 2024
First published
18 Mar 2024

Soft Matter, 2024,20, 4175-4183

Refractive-index and density-matched emulsions with programmable DNA interactions

W. Chen, L. Sixdenier, A. McMullen, D. G. Grier and J. Brujic, Soft Matter, 2024, 20, 4175 DOI: 10.1039/D4SM00032C

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