Recognition-Based Chiral Amplification through Adaptive Locking

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Authors: Yu‐Dong Yang, Jiaqi Liang, Xingchen Jin, Qian Zhang, Jie Yang, Han‐Yuan Gong, Jonathan L. Sessler
Cited by: 1
References: 53

Abstract

Chiral amplification in host–guest systems remains difficult to control because structures tend to be either too rigid to accommodate a guest or too flexible to maintain stable helicity. This is a limitation where binding of chiral substrates is a key to chiroptical induction and the production of, e.g., a circular dichroism (CD) or circularly polarized luminescence (CPL) response. Here, we introduce a supramolecular-based adaptive-locking chirality ( ALC ) strategy that integrates chirality induction and helicity control within a molecular organic cage ( Cg ). This cage is flexible and able to bind a broad range of chiral acids. After the capture of four guests and saturation of the four available binding sites, conformational locking of Cg occurs, which stabilizes a single helical configuration. Structural, spectroscopic, and kinetic analyses reveal a guest-dependent progression from rapid helix interconversion to a structure characterized by fully immobilized chirality. These structural changes were found to correlate directly with the emergence of increasingly strong chiroptical signals. The | g abs | and | g lum | values for the resulting complexes were found to reach 0.044 and 0.012. A quantitative correlation between desymmetrization as inferred from NMR spectroscopic analyses (Δν) and the | g lum | values was observed. This enables a predictive assessment of the chiroptical performance for Cg and may provide a general strategy for evaluating a priori high-performance chiroptical materials.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Neural Networks and Applications Advanced Neural Network Applications

Publication details

Journal / source
Journal of the American Chemical Society
Publisher
American Chemical Society (ACS)
Volume
148
Issue
17
Pages
18365–18373
Publication date
22 April 2026
Language
EN