循環性ジスルファイドのリバーシブルリング開封カスケードによって可能となる共振性適応性液晶ネットワーク
Shuai Huang1, Yikang Shen1, Hari K Bisoyi2
1Institute of Advanced Materials, School of Chemistry and Chemical Engineering, and Jiangsu Province Hi-Tech Key Laboratory for Biomedical Research, Southeast University, Nanjing 211189, China.
Journal of the American Chemical Society
|July 19, 2021
まとめ
研究者らはダイナミックな共電性結合を用いた 新しい自己治癒と形状プログラム可能な液晶ネットワーク (LCN) を開発した. このイノベーションにより リサイクル可能な 多様なソフトロボットの材料が生まれ かつての限界を克服できます
科学分野:
- 材料科学
- ポリマー化学
- ソフトロボティクス
背景:
- 協和型適応液晶ネットワーク (LCN) は,ソフトロボティックの自己治癒と形状プログラム性を提供します.
- 現在の分子設計戦略は 材料のリサイクル性と建築の多様性を制限しています
研究 の 目的:
- 光反応性ポリジスルファイドベースの共性適応性LCNを開発し,再利用性と建築的多様性を向上させる.
- フォトメカニカルデバイスの減量製造の限界を克服する.
主な方法:
- LCNの製造は,サイクリックディチオラン群のリング開きポリメリゼーションによる.
- 材料の自己治癒,再構成,再プログラムに ディスルファイドメタテシスを利用する.
- モノマーリサイクルのための触媒脱ポリメリゼーションを使用します.
主要な成果:
- フォトレスポンシブなポリジスルフィード基の共性適応性LCNを成功して合成した.
- 自己治癒,再構成,再プログラミングの 能力を示した.
- より持続可能な製造プロセスを可能にする触媒脱ポリメリゼーションによるモノマーリサイクルを達成しました.
結論:
- 開発されたLCNは,機能的なソフトロボットを作るための費用対効果の高いエコフレンドリーなアプローチを提供します.
- この戦略により 材料のプログラム可能性と再生可能性が向上し ソフトロボティクスの応用が広がります
- この研究は,高度なロボットアプリケーションのための持続可能な材料の重要な進歩を提供します.
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