Issue 15, 2024

Cooperative dynamics of DNA-grafted magnetic nanoparticles optimize magnetic biosensing and coupling to DNA origami

Abstract

Magnetic nanoparticles (MNPs) provide new opportunities for enzyme-free biosensing of nucleic acid biomarkers and magnetic actuation by patterning on DNA origami, yet how the DNA grafting density affects their dynamics and accessibility remains poorly understood. Here, we performed surface functionalization of MNPs with single-stranded DNA (ssDNA) via click chemistry with a tunable grafting density, which enables the encapsulation of single MNPs inside a functional polymeric layer. We used several complementary methods to show that particle translational and rotational dynamics exhibit a sigmoidal dependence on the ssDNA grafting density. At low densities, ssDNA strands adopt a coiled conformation that results in minor alterations to particle dynamics, while at high densities, they organize into polymer brushes that collectively influence particle dynamics. Intermediate ssDNA densities, where the dynamics are most sensitive to changes, show the highest magnetic biosensing sensitivity for the detection of target nucleic acids. Finally, we demonstrate that MNPs with high ssDNA grafting densities are required to efficiently couple to DNA origami. Our results establish ssDNA grafting density as a critical parameter for the functionalization of MNPs for magnetic biosensing and functionalization of DNA nanostructures.

Graphical abstract: Cooperative dynamics of DNA-grafted magnetic nanoparticles optimize magnetic biosensing and coupling to DNA origami

Supplementary files

Article information

Article type
Paper
Submitted
07 Dec 2023
Accepted
09 Mar 2024
First published
11 Mar 2024
This article is Open Access
Creative Commons BY license

Nanoscale, 2024,16, 7678-7689

Cooperative dynamics of DNA-grafted magnetic nanoparticles optimize magnetic biosensing and coupling to DNA origami

A. Lak, Y. Wang, P. J. Kolbeck, C. Pauer, M. S. Chowdhury, M. Cassani, F. Ludwig, T. Viereck, F. Selbach, P. Tinnefeld, M. Schilling, T. Liedl, J. Tavacoli and J. Lipfert, Nanoscale, 2024, 16, 7678 DOI: 10.1039/D3NR06253H

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