A quantitative model for a nanoscale switch accurately predicts thermal actuation behavior

Crocker, Kyle; Johnson, Joshua; Pfeifer, Wolfgang; Castro, Carlos; Bundschuh, Ralf

doi:10.1039/d1nr02873a

Title: A quantitative model for a nanoscale switch accurately predicts thermal actuation behavior

Journal Article · 22 July 2021 · Nanoscale

DOI: https://doi.org/10.1039/d1nr02873a · OSTI ID:1852366

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The Ohio State Univ., Columbus, OH (United States); OSTI
The Ohio State Univ., Columbus, OH (United States); Imperial College, London (United Kingdom)
The Ohio State Univ., Columbus, OH (United States)

Manipulation of temperature can be used to actuate DNA origami nano-hinges containing gold nanoparticles. We develop a physical model of this system that uses partition function analysis of the interaction between the nano-hinge and nanoparticle to predict the probability that the nano-hinge is open at a given temperature. The model agrees well with experimental data and predicts experimental conditions that allow the actuation temperature of the nano-hinge to be tuned over a range of temperatures from 30 °C to 45 °C. Additionally, the model identifies microscopic interactions that are important to the macroscopic behavior of the system, revealing surprising features of the system. This combination of physical insight and predictive potential is likely to inform future designs that integrate nanoparticles into dynamic DNA origami structures or use strand binding interactions to control dynamic DNA origami behavior. Furthermore, our modeling approach could be expanded to consider the incorporation, stability, and actuation of other types of functional elements or actuation mechanisms integrated into nucleic acid devices.

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Research Organization:: The Ohio State Univ., Columbus, OH (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Office of Science (SC); USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0017270

OSTI ID:: 1852366

Journal Information:: Nanoscale, Journal Name: Nanoscale Journal Issue: 32 Vol. 13; ISSN NANOHL; ISSN 2040-3364

Publisher:: Royal Society of ChemistryCopyright Statement

Country of Publication:: United States

Language:: English

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Title: A quantitative model for a nanoscale switch accurately predicts thermal actuation behavior

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