論文

査読有り
2020年

Poly(alanine-nylon-alanine) as a bioplastic: chemoenzymatic synthesis, thermal properties and biological degradation effects

Polymer Chemistry
  • Prashant G. Gudeangadi
  • ,
  • Kei Uchida
  • ,
  • Ayaka Tateishi
  • ,
  • Kayo Terada
  • ,
  • Hiroyasu Masunaga
  • ,
  • Kousuke Tsuchiya
  • ,
  • Hitoshi Miyakawa
  • ,
  • Keiji Numata

11
30
開始ページ
4920
終了ページ
4927
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1039/D0PY00137F
出版者・発行元
Royal Society of Chemistry ({RSC})

Poly(amino acids) such as polypeptides and proteins are attractive biomass-based polymers that potentially contribute to circular economy for plastic. In the current study, we synthesized polypeptides containing periodic nylon units to incorporate thermal plasticity into polypeptides. We successfully synthesized polypeptides containing nylon units by chemoenzymatic polymerization. In addition to nylon 4, which is of biomass origin, nylon 3, nylon 5, and nylon 6 were chosen as the second monomer units with alanine, a natural amino acid. The synthesized polypeptides showed partial melting behavior prior to their thermal degradation. It was found that the nylon unit length significantly changed the thermal properties of the resulting polypeptides, as evidenced by WAXS and DSC analysis. Furthermore, the biodegradability and environmental toxicity of the synthesized polypeptides were evaluated using biological systems. The copolymer containing nylon 4 is considered as a highly potential biopolymer in terms of the polymerization results and environmental toxicity. These results open a new door for utilizing nylon-containing peptides as biomaterials, especially as thermally processable and eco-friendly structural materials.

リンク情報
DOI
https://doi.org/10.1039/D0PY00137F
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000559822300007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1039/D0PY00137F
  • ISSN : 1759-9954
  • eISSN : 1759-9962
  • ORCIDのPut Code : 72429748
  • Web of Science ID : WOS:000559822300007

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