Natural-inspired self-healing sensors

Yuchen Liu, Luai R. Khoury

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter explores the innovative realm of biomimetic self-healing sensors, drawing inspiration from the diverse and responsive capabilities of living organisms in nature. It navigates through the integration of self-healing properties into sensor technology inspired by natural healing mechanisms in plants and animals. The chapter highlights recent advancements in biosensing technology, particularly the shift from traditional rigid systems to flexible, stretchable designs. It discusses various nature-inspired sensors, such as those based on butterfly wings, fish scales, and the sensory abilities of animals like geckos and cephalopods. The chapter also examines self-healing materials, distinguishing between extrinsic and intrinsic types, and their application in enhancing sensor durability and functionality. Addressing the challenges in replicating natural healing processes and ensuring functional compatibility of synthetic materials, this chapter outlines the prospects and ongoing efforts in advancing self-healing sensor technology, emphasizing its potential in wearable electronics, robotics, and AI systems.

Original languageEnglish
Title of host publicationNature-Inspired Sensors
PublisherElsevier
Pages143-152
Number of pages10
ISBN (Electronic)9780443156847
ISBN (Print)9780443156854
DOIs
StatePublished - 1 Jan 2024

Keywords

  • Self-healing sensors
  • biosensors
  • functional sensors
  • materials application
  • materials characterization
  • materials chemistry
  • materials structure
  • nanotechnology
  • smart materials

All Science Journal Classification (ASJC) codes

  • General Biochemistry,Genetics and Molecular Biology

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