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◆ Chemical science2026-08-13

Single cellulose nanocrystal rod-templated right-handed imine-linked covalent organic frameworks for enantioselective recognition.

Wenxin Zhang, Yuyu Zhang, Jianhong Wu, Zhibing Chen, Jinhao Huang, Qiongya Li, Fusheng Zhang, Guangyan Qing

原始摘要(英文原文)· Original abstract
Chiral materials from cellulose nanocrystals (CNCs) usually derive from left-handed helical organization formed by collective self-assembly, while the direct transfer of the intrinsic right-handed chirality of individual CNC nanorods into well-defined hybrid architectures remains largely unexplored. Elucidating this chirality transfer process is essential for understanding the multihierarchical chirality transcription of cellulose. Herein, we present an interfacially confined Schiff-base polymerization that uses single right-handed CNC rods as chiral templates to fabricate core-shell CNC@covalent organic framework (COF) hybrids. Electrostatic enrichment of protonated amine monomers and subsequent acid-catalyzed confined condensation at the CNC-water interface directs the oriented growth of an imine-linked COF shell, effectively transcribing the single-rod chirality into a supramolecular helical organization with amplified chiroptical activity. The resulting hybrid retains the right-handed chiroptical response derived from the CNC template and exhibits a significantly enhanced Cotton effect, achieving a g abs of -6.23 × 10-3. Moreover, the chiral confined porous microenvironment enables enantioselective adsorption of ofloxacin, affording capacities of 8.22 mg g-1 for S-ofloxacin and 3.03 mg g-1 for R-ofloxacin, whereas the corresponding pristine COF is nearly nonselective. This work establishes a strategy for transforming intrinsic nanoscale chirality into functional hybrid materials and provides a platform for designing chiral porous materials for recognition, separation, and advanced photonic applications.
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Single cellulose nanocrystal rod-templated right-handed imine-linked covalent organic frameworks for enantioselective recognition. — 科研速览 Science Skim