4.7 Article

Bioinspired extremely rapid self-repairing coatings for long-life repeated features

期刊

CHEMICAL ENGINEERING JOURNAL
卷 424, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2021.130568

关键词

Biomimetics; Self-repairing; Self-healing; Layer-by-layer; Repeated function; Self-assembly

资金

  1. JSPS KAKENHI [JP19K23501, JP20H02456]
  2. TOYO INSTITUTE of FOOD TECHNOLOGY

向作者/读者索取更多资源

A water-induced, self-repairing coating inspired by cephalopod self-healing mechanisms has been developed to rapidly repair surface scratches. This coating mimics the self-repair process of cephalopods, with the addition of counter-ions improving water absorption and retention properties, resulting in a rapid self-repairing rate of 92% within 1 second.
Emerging materials capable of self-repair to damaged areas are attracting attention for environmental protection and energy reduction. Although coatings whose material elasticity physically restores surface-dents are in practical use, in the case of crack damage, they cannot perform their self-repairing function. Conversely, coatings that exhibit the capacity to repeatedly repair themselves chemically have been challenged by long repair times. Here water-induced, self-repairing coatings inspired by cephalopod self-healing mechanisms were developed that can ultra-rapidly repair surface scratches. The introduction of counter-ions into polyelectrolyte multilayers produced coatings mimicking the strong fl-sheet structures, noncovalent intermolecular interactions, and consequently self-repair process in cephalopods. These features resulted in a decrease in the strong polycation-polyanion electrostatic bonds and an increase in the noncovalent polymer networks. Furthermore, counter-ion addition improved the coating's water absorption and retention properties. The ion-trapped polymer networks facilitated expansion in the horizontal direction where a scar was present, resulting in ultrafast selfrepairing rate of 92% in 1 s and 100% in 10 s. These extremely rapidly self-repairing coatings have various potential applications given knowledge acceleration via machine learning. The key technology developed here paves the way for novel insights into the construction of self-repairing materials and contributes to the development of a sustainable society.

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