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Enzyme-like substrate-selectivity in C-H oxidation enabled by recognition.

Giorgio Olivo1, Giorgio Capocasa, Osvaldo Lanzalunga

  • 1Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Campus de Montilivi, 17071 Girona, Spain. giorgio.olivo@udg.edu miquel.costas@udg.edu.

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Summary

Artificial catalysts achieve enzyme-like substrate selectivity in C-H oxidation. This recognition-driven process unexpectedly enhances reactivity through intramolecular effects, inverting typical C-H bond reactivity.

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Area of Science:

  • Catalysis
  • Organic Chemistry
  • Chemical Engineering

Background:

  • Enzymes exhibit substrate-selectivity through molecular recognition, a trait rarely replicated in artificial catalysts.
  • Artificial catalysts often lack the precise control over reactivity seen in biological systems.

Purpose of the Study:

  • To develop a recognition-driven, substrate-selective C-H oxidation using artificial catalysts.
  • To investigate the inversion of intrinsic C-H bond reactivity in competing sites.

Main Methods:

  • Design and synthesis of a novel artificial catalyst capable of molecular recognition.
  • Execution of C-H oxidation reactions under controlled conditions.
  • Detailed analysis of selectivity and reactivity enhancement.

Main Results:

  • Achieved substrate-selective C-H oxidation, mimicking enzymatic recognition.
  • Demonstrated inversion of intrinsic reactivity between competing C-H bonds.
  • Identified significant reactivity enhancement due to intramolecular effects.

Conclusions:

  • Recognition-driven selectivity is achievable in artificial C-H oxidation.
  • Intramolecularity plays a crucial role in enhancing catalyst reactivity and selectivity.
  • This work provides a new paradigm for designing selective artificial catalysts.