Molecular tuning of DNA framework-programmed silicification by cationic silica cluster attachment

Xinxin Jing, Haozhi Wang,Jianxiang Huang, Yingying Lin, Z. Li,Jielin Chen, Yang Xu, Liuyi Li, Lin Yao, Damiano Buratto, Qing Xia,Muchen Pan, Qianqian Wang,Mingqiang Li,Ruhong Zhou,Xiaoguo Liu,Stephen Mann, Fan Chen

arXiv (Cornell University)(2023)

引用 0|浏览7
暂无评分
摘要
The organizational complexity of biominerals has long fascinated scientists seeking to understand biological programming and implement new developments in biomimetic materials chemistry. Nonclassical crystallization pathways have been observed and analyzed in typical crystalline biominerals, involving the controlled attachment and reconfiguration of nanoparticles and clusters on organic templates. However, the understanding of templated amorphous silica mineralization remains limited, hindering the rational design of complex silica-based materials. Here, we present a systematic study on the stabilization of self-capping cationic silica cluster (CSC) and their assembly dynamics using DNA nanostructures as programmable attachment templates. By tuning the composition and structure of CSC, we demonstrate high-fidelity silicification at single-cluster resolution, revealing a process of adaptive templating involving cooperative adjustments of both the DNA framework and cluster morphology. Our results provide a unified model of silicification by cluster attachment and pave the way towards the molecular tuning of pre- and post-nucleation stages of sol-gel reactions. Overall, our findings provide new insights for the design of silica-based materials with controlled organization and functionality, bridging the gap between biomineralization principles and the rational design of biomimetic material.
更多
查看译文
关键词
silicification,molecular tuning,silica,framework-programmed
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要