Tailoring multi-dimensional hierarchical self-assembly of metallacages through balancing non-covalent interactions

Despite advances in non-covalent interactions and complex self-assembly, precise control of multi-dimensional hierarchical self-assembly (HSA) from the molecular level to larger scales remains challenging. Herein, we designed and synthesized two rigid tetratopic ligands with multiple preset driving forces, and assembled them with Zn(ii) ions to obtain metallacages SC6 and SC12. Through balancing multiple non-covalent interactions, including metal-organic coordination, hydrophobic, and π-π interactions, SC6 can hierarchically self-assemble driven by a poor solvent, from one-dimensional nanowires to super-helical nanostructures <i>via</i> non-equilibrium self-assembly, progressing continuously with time and the increasing proportion of the poor solvent. However, for SC12 with enhanced hydrophobic interactions, two-dimensional monolayer nanogrids were formed by hierarchical self-assembly. Notably, these structures can be recycled back to primary metallacages through simple dissolution, highlighting their potential for efficient recycling and reuse. These results demonstrate that multi-dimensional hierarchical structures enable precise construction by balancing non-covalent interactions through a bottom-up self-assembly approach. This study provides deeper insight into the mechanisms of HSA and a promising strategy for the tailored creation of complex structures and sustainable porous materials.

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Publication Details

Journal
Chemical Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sc03463a
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43

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article

Tailoring multi-dimensional hierarchical self-assembly of metallacages through balancing non-covalent interactions

Yunyan Qiu, Lei Ge, Xin Jiang, Haopeng Li et al.
2 citations
Chemical Science
Modular Robots and Swarm Intelligence
1.43
article

Tailoring multi-dimensional hierarchical self-assembly of metallacages through balancing non-covalent interactions

Yunyan Qiu, Lei Ge, Xin Jiang, Haopeng Li, Yaping Xu, Suqin Shen, Kun Wang, Ming Wang, Xuhong Guo, Hao Yu, Xinrui Zhang, Jing Yu, Ningxu Han, Haixin Zhang, Zhishuang Gao, Jiaqi Han
article en
2 citations

Abstract

Despite advances in non-covalent interactions and complex self-assembly, precise control of multi-dimensional hierarchical self-assembly (HSA) from the molecular level to larger scales remains challenging. Herein, we designed and synthesized two rigid tetratopic ligands with multiple preset driving forces, and assembled them with Zn(ii) ions to obtain metallacages SC6 and SC12. Through balancing multiple non-covalent interactions, including metal-organic coordination, hydrophobic, and π-π interactions, SC6 can hierarchically self-assemble driven by a poor solvent, from one-dimensional nanowires to super-helical nanostructures <i>via</i> non-equilibrium self-assembly, progressing continuously with time and the increasing proportion of the poor solvent. However, for SC12 with enhanced hydrophobic interactions, two-dimensional monolayer nanogrids were formed by hierarchical self-assembly. Notably, these structures can be recycled back to primary metallacages through simple dissolution, highlighting their potential for efficient recycling and reuse. These results demonstrate that multi-dimensional hierarchical structures enable precise construction by balancing non-covalent interactions through a bottom-up self-assembly approach. This study provides deeper insight into the mechanisms of HSA and a promising strategy for the tailored creation of complex structures and sustainable porous materials.

Chemical ScienceVol. 16(39)
University of Miami (US), National University of Singapore (SG), Nanyang Technological University (SG), Jilin University (CN), State Key Laboratory of Supramolecular Structure and Materials, Tsinghua University (CN)
U.S. Department of Energy, University of Miami, National University of Singapore, Ministry of Education - Singapore, National Natural Science Foundation of China, Basic Energy Sciences
Openalex Percentile: Top 18%
Modular Robots and Swarm Intelligence
1.43
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