Skip to main navigation Skip to search Skip to main content

Tunable B←N Lewis pairs enabling dative organic frameworks with intrinsic stimuli-responsiveness

  • Zihao Wang
  • , Xupeng Ji
  • , Liu Yang
  • , Yuncong Xue
  • , Zhao Gao
  • , Wei Tian
  • Northwestern Polytechnical University Xian
  • Queen Mary University of London
  • University of Münster

Research output: Contribution to journalArticlepeer-review

Abstract

B←N Lewis pairs have emerged as a highly versatile platform for modulating molecular electronics and constructing adaptive functional materials, owing to their tunable coordination strength and optoelectronic properties. Nevertheless, precise control over their bonding characteristics and the achievement of reversible stimuli-responsiveness at the framework-level remain formidable challenges. Herein, we present a supramolecular design strategy for tuning B←N Lewis acid-base pairs with distinct electronic characteristics by employing a π-conjugated planar boron compound as Lewis acid and three nitrogen-containing Lewis bases with different electronic properties. This approach enables a systematic exploration of their binding strength, directionality, and optical behaviors. Furthermore, a series of B←N dative-bonded organic frameworks (DOFs) is constructed by integrating a C2-symmetric boron monomer with C3-symmetric nitrogen monomers. The resultant DOFs exhibit reversible fluorescence color transitions and structural recovery upon alternating stimuli of trifluoroacetic acid and triethylamine, demonstrating their potential for dynamic response in the development of advanced functional materials.

Original languageEnglish
JournalScience China Chemistry
DOIs
StateAccepted/In press - 2026

Keywords

  • B←N dative bonds
  • molecular recognition
  • organic frameworks
  • stimuli-responsiveness
  • supramolecular chemistry

Fingerprint

Dive into the research topics of 'Tunable B←N Lewis pairs enabling dative organic frameworks with intrinsic stimuli-responsiveness'. Together they form a unique fingerprint.

Cite this