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April 3, 2026Journal of the American Chemical Society

Switchable and Self-Learning Enantioseparation Based on Ultrafast Helix Induction and Memory of a Helical Polyacetylene

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Authors

TITomoyuki IkaiSOShogo OkudaATAtsushi Tsuzuki

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Overview

Novel approach demonstrates efficient enantiomer separation in a racemic analyte using a self-learning mechanism.

Key Points

  • This research aims to explore an innovative method for enantiomer separation using a newly developed chiral stationary phase (CSP).
  • Induction of helicity in optically inactive poly(biphenylylacetylene) with a helix inducer.
  • Development of an immobilized chiral stationary phase through living block polymerization and chain-end-selective immobilization.
  • Continuous injection of racemic analytes and helix inducers for separation experiments.
  • Achieved rapid enantiomer separation with a specially designed CSP.
  • Demonstrated unprecedented partial separation of a nonracemic analyte.
  • The CSP exhibited a 'self-learning' mechanism, retaining memory of helicity.

Cite This Study

Ikai et al. (2026) studied this question.

synapsesocial.com/papers/69cf5cd15a333a821460a53dhttps://doi.org/10.1021/jacs.5c22456
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