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Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
Published on: February 7, 2017
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Unveiling the Configurational Landscape of Carbamate: Paving the Way for Designing Functional Sequence-Defined
Ariel F Perez Mellor1, Johanna Brazard1, Sara Kozub2
1Department of Physical Chemistry, Sciences II, University of Geneva, 30, Quai Ernest Ansermet, Geneva 1211, Switzerland.
The Journal of Physical Chemistry. A
|August 25, 2023
Summary
Carbamate polymers offer new functional materials. Researchers found carbamates are more rigid than amino acids, with stable cis configurations, enabling novel polymer design.
Area of Science:
- Polymer Chemistry
- Materials Science
- Abiotic Polymers
Background:
- Carbamates are an emerging polymer backbone class for sequence-defined, abiotic polymers.
- Controlling polycarbamate sequences allows for de novo design of functional materials.
- Carbamates lack extensive investigation as building blocks for folding and self-assembly compared to amino acids.
Purpose of the Study:
- To understand the conformational properties of carbamate monomer units.
- To investigate the stability of different amide bond configurations in carbamates.
- To establish a foundation for designing sequence-defined carbamate-based polymers.
Main Methods:
- Infrared (IR) spectroscopy
- Vibrational Circular Dichroism (VCD) spectroscopy
- Nuclear Magnetic Resonance (NMR) spectroscopy
- Density Functional Theory (DFT) calculations
Main Results:
- Carbamate monomer units exhibit greater rigidity compared to amino acid building blocks.
- Extended delocalization of π-electrons in carbamate backbones contributes to their rigidity.
- Cis configurations of the amide bond are energetically stable in carbamates, unlike the typically trans configurations in peptides.
Conclusions:
- Carbamates possess unique conformational properties distinct from peptides.
- The inherent rigidity and stable cis configurations of carbamates are key for de novo polymer design.
- This research provides foundational insights for developing advanced carbamate-based sequence-defined polymer materials.
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