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Updated: Jan 15, 2026
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Assembly of Gold Nanorods into Chiral Plasmonic Metamolecules Using DNA Origami Templates
Published on: March 5, 2019
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Chiral Engineering: Molecular Recognition to Macroscopic Assembly Dynamics
Jiaqian Liu1, Xiaowei Huang1, Zhihua Li1
1School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, P. R. China.
Small (Weinheim an Der Bergstrasse, Germany)
|October 9, 2025
Summary
This review explores chiral recognition and supramolecular assembly, highlighting molecular imprinting technology and dynamic assembly for cross-scale chiral expression. Future work focuses on stimuli-responsive materials and quantum information applications.
Area of Science:
- Chemistry
- Materials Science
- Life Sciences
Background:
- Chiral phenomena are fundamental across molecular to macroscopic scales.
- Precise identification and assembly of chiral entities are crucial in interdisciplinary research.
- Understanding chiral spatial configurations and supramolecular chirality formation is key.
Purpose of the Study:
- To systematically review research on chiral recognition mechanisms.
- To examine the formation of supramolecular chirality.
- To identify innovative breakthroughs and future challenges in chiral engineering.
Main Methods:
- Review of molecular-level recognition mechanisms (three-point interactions, ligand-exchange, host-guest adaptive).
- Analysis of non-covalent interactions (hydrogen bonding, electrostatic forces).
- Exploration of molecular imprinting technology (MIT) and dynamic assembly.
Main Results:
- Elucidation of synergistic non-covalent interactions in chiral recognition.
- Demonstration of molecular imprinting technology for specific template-cavity recognition.
- Advancements in supramolecular chirality, including chiral induction, transfer, and dynamic assembly for macroscopic functions.
- Breakthroughs in single-molecule detection and light-controlled switches for responsive materials.
Conclusions:
- Significant challenges remain in cross-scale chiral transfer, material stability, and signal-to-noise ratios for single-molecule detection.
- Future research should integrate in situ characterization and computational simulations for dynamic pathway analysis.
- Development of stimuli-responsive smart materials and expansion into quantum information and biomedicine are promising avenues.
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