Supramolecular copolymerization driven by integrative self-sorting of hydrogen-bonded rosettes

Autor: Martin J. Hollamby, Rika Takeya, Shin-ichi Adachi, Rie Haruki, Brian R. Pauw, Hideaki Takagi, Nobutaka Shimizu, Yuichi Kitamoto, Keisuke Aratsu, Shiki Yagai
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
ISSN: 2041-1723
DOI: 10.1038/s41467-020-15422-6
Popis: Molecular recognition to preorganize noncovalently polymerizable supramolecular complexes is a characteristic process of natural supramolecular polymers, and such recognition processes allow for dynamic self-alteration, yielding complex polymer systems with extraordinarily high efficiency in their targeted function. We herein show an example of such molecular recognition-controlled kinetic assembly/disassembly processes within artificial supramolecular polymer systems using six-membered hydrogen-bonded supramolecular complexes (rosettes). Electron-rich and poor monomers are prepared that kinetically coassemble through a temperature-controlled protocol into amorphous coaggregates comprising a diverse mixture of rosettes. Over days, the electrostatic interaction between two monomers induces an integrative self-sorting of rosettes. While the electron-rich monomer inherently forms toroidal homopolymers, the additional electrostatic interaction that can also guide rosette association allows helicoidal growth of supramolecular copolymers that are comprised of an alternating array of two monomers. Upon heating, the helicoidal copolymers undergo a catastrophic transition into amorphous coaggregates via entropy-driven randomization of the monomers in the rosette.
Unlike natural supramolecular polymers, artificial counterparts do not have molecular recognition processes to preorganize the supramolecular complexes before final assembly. Here, the authors show supramolecular copolymerization driven by integrative self-sorting of two different monomers into discrete six-membered supramolecular complexes (rosettes).
Databáze: OpenAIRE