4.8 Article

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

期刊

NANOSCALE
卷 13, 期 32, 页码 13746-13757

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1nr02873a

关键词

-

资金

  1. National Science Foundation [DMR-1719316]
  2. Department of Energy [DE-SC0017270]
  3. U.S. Department of Energy (DOE) [DE-SC0017270] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

A physical model is developed to predict the probability of DNA origami nano-hinges containing gold nanoparticles being open at different temperatures based on partition function analysis. The model accurately matches experimental data and reveals important microscopic interactions influencing macroscopic behavior. This insight could inform future designs incorporating nanoparticles into dynamic DNA origami structures.
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 degrees C to 45 degrees 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据