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Enhancing structural control in covalent organic frameworks through steric interaction-driven linker design.

Alena Winter1, Farzad Hamdi2,3, Andreas Eichhöfer4

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Researchers developed a new linker design strategy to exclusively synthesize kagome (kgm) Covalent Organic Frameworks (COFs). Bulky functional groups induce steric interactions, controlling COF structure and expanding synthetic possibilities.

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Area of Science:

  • Materials Science
  • Supramolecular Chemistry
  • Crystallography

Background:

  • Covalent Organic Frameworks (COFs) are crystalline porous materials with tunable properties.
  • Kagome (kgm) COFs offer unique pore structures but are challenging to synthesize selectively.
  • Polymorphism, specifically the formation of square-lattice (sql) structures, complicates targeted kgm synthesis.

Purpose of the Study:

  • To develop a reliable synthetic method for exclusively targeting the kgm COF structure.
  • To investigate the role of linker design and steric interactions in controlling COF polymorphism.
  • To understand the formation mechanisms of kgm COFs and their pore characteristics.

Main Methods:

  • Designed COF linkers with bulky functional groups (methyl benzoate) to induce steric hindrance.
  • Utilized complementary bidentate linear linkers of varying lengths (phenylenediamine and benzidine) to tune steric interactions.
  • Employed structural analysis techniques to characterize the resulting COF lattices and pore structures.

Main Results:

  • Successfully synthesized kgm COFs by employing bulky functional groups on tetradentate linkers.
  • Demonstrated that shorter linkers (phenylenediamine) promote steric hindrance and kgm formation, while longer linkers (benzidine) reduce hindrance and favor sql formation.
  • Observed unusual ABC stacking in the kgm COF, resulting in pearl string-like pores instead of two distinct pore sizes.

Conclusions:

  • Steric interaction-driven linker design provides effective control over COF net topology and polymorphism.
  • This strategy expands the design toolbox for creating specific COF structures.
  • The study offers valuable insights into the fundamental principles of network formation and polymorphism in COFs.